Balazs Acs

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Article: BRITISH JOURNAL OF CANCER. 2024;131(4):718-728
A population-based study on trajectories of HER2 status during neoadjuvant chemotherapy for early breast cancer and metastatic progression
Boman C; Liu X; Eriksson Bergman L; Sun W; Tranchell C; Toli MA; Acs B; Bergh J; Foukakis T; Matikas A
Journal article: ANNALS OF ONCOLOGY. 2024;35:s351
325P The clinical validity of histological grade in neoadjuvant treated breast cancer
Steen S; Acs B; Karlsson E; Hartman J
Article: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2024;28(9):5312-5322
Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images
Tsiknakis N; Manikis G; Tzoras E; Salgkamis D; Vidal JM; Wang K; Zaridis D; Sifakis E; Zerdes I; Bergh J; Hartman J; Acs B; Marias K; Foukakis T
Article: BREAST CANCER RESEARCH AND TREATMENT. 2024;206(1):163-175
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay
Wang Y; Sun W; Karlsson E; Lovgren SK; Acs B; Rantalainen M; Robertson S; Hartman J
Article: HELIYON. 2024;10(12):e32892
Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images
Solorzano L; Robertson S; Acs B; Hartman J; Rantalainen M
Journal article: ESMO OPEN. 2024;9:103124
137P Adherence to and optimization of guidelines for risk of recurrence/Prosigna testing using a machine learning model: A Swedish multicenter study
Kjällquist U; Tsiknakis N; Acs B; Margolin S; Ekholm M; Kessler LE; Lundgren C; Garcia SG; Olsson EJ; Lindman H; Valachis A; Hartman J; Foukakis T; Matikas A
Journal article: THE LANCET REGIONAL HEALTH. EUROPE. 2024;40:100886
Real-world overall survival and characteristics of patients with ER-zero and ER-low HER2-negative breast cancer treated as triple-negative breast cancer: a Swedish population-based cohort study
Acs B; Hartman J; Sönmez D; Lindman H; Johansson ALV; Fredriksson I
Article: THE LANCET REGIONAL HEALTH. EUROPE. 2024;40:100886
Real-world overall survival and characteristics of patients with ER-zero and ER-low HER2-negative breast cancer treated as triple-negative breast cancer: a Swedish population-based cohort study.
Acs B; Hartman J; Sönmez D; Lindman H; Johansson ALV; Fredriksson I
Article: SCIENTIFIC REPORTS. 2024;14(1):7136
Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images
van Eekelen L; Spronck J; Looijen-Salamon M; Vos S; Munari E; Girolami I; Eccher A; Acs B; Boyaci C; de Souza GS; Demirel-Andishmand M; Meesters LD; Zegers D; van der Woude L; Theelen W; van den Heuvel M; Gruenberg K; van Ginneken B; van der Laak J; Ciompi F
Article: BRITISH JOURNAL OF SURGERY. 2024;111(2):znae037
Immune cell infiltrate in ductal carcinoma in situ and the risk of dying from breast cancer: case-control study
Rask G; Wadsten C; Acs B; Hartman J; Fredriksson I; Garmo H; Warnberg F; Sund M
Journal article: ANNALS OF ONCOLOGY. 2023;34:s279
Patient characteristics and real-world outcomes in HER2 negative/ ER zero and ER low patients treated as triple-negative breast cancer in Sweden 2008-2020
Fredriksson I; Acs B; Hartman J; Sonmez D; Lindman H
Article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2023;2023:1-4
Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis.
Tsiknakis N; Tzoras E; Zerdes I; Manikis GC; Acs B; Hartman J; Hatschek T; Foukakis T; Marias K
Journal article: JOURNAL OF INVESTIGATIVE DERMATOLOGY. 2023;143(5):s34
202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
Tan SX; Aung TN; Claeson M; Zhou C; Brown S; Acs B; Lambie D; Baade P; Pandeya N; Soyer H; Smithers B; Whiteman D; Rimm D; Khosrotehrani K
Journal article: CANCER RESEARCH. 2023;83(7):5432
Validation of spatial gene expression patterns predicted by deep convolutional neural networks from breast cancer histopathology images
Ton K; Wang Y; Pan L; Kartasalo K; Acs B; Weitz P; Zhang L; Liang Y; Hartman J; Volkonen M; Larsson C; Ruusuvuori P; Beechem J; Rantalainen M
Article: CLINICAL CANCER RESEARCH. 2023;29(3):532-540
Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Gryback P; Bjohle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellstrom M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Article: MODERN PATHOLOGY. 2022;35(10):1362-1369
Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study
Acs B; Leung SCY; Kidwell KM; Arun I; Augulis R; Badve SS; Bai Y; Bane AL; Bartlett JMS; Bayani J; Bigras G; Blank A; Buikema H; Chang MC; Dietz RL; Dodson A; Fineberg S; Focke CM; Gao D; Gown AM; Gutierrez C; Hartman J; Kos Z; Laenkholm A-V; Laurinavicius A; Levenson RM; Mahboubi-Ardakani R; Mastropasqua MG; Nofech-Mozes S; Osborne CK; Penault-Llorca FM; Piper T; Quintayo MA; Rau TT; Reinhard S; Robertson S; Salgado R; Sugie T; van der Vegt B; Viale G; Zabaglo LA; Hayes DF; Dowsett M; Nielsen TO; Rimm DL
Article: EBIOMEDICINE. 2022;82:104143
Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms
Aung TN; Sha S; Wilmott JS; Nourmohammadi S; Vathiotis I; Gavrielatou N; Fernandez A; Yaghoobi V; Sinnberg T; Amaral T; Ikenberg K; Khosrotehrani K; Osman I; Acs B; Bai Y; Martinez-Morilla S; Mouta M; Thompson JF; Scolyer RA; Rimm DL
Article: CANCERS. 2022;14(11):2615
Real World Evaluation of the Prosigna/PAM50 Test in a Node-Negative Postmenopausal Swedish Population: A Multicenter Study
Kjallquist U; Acs B; Margolin S; Karlsson E; Kessler LE; Hernandez SG; Ekholm M; Lundgren C; Olsson E; Lindman H; Foukakis T; Matikas A; Hartman J
Article: GENES. 2022;13(4):589
Deconstructing Immune Cell Infiltration in Human Colorectal Cancer: A Systematic Spatiotemporal Evaluation
Agoston EI; Acs B; Herold Z; Fekete K; Kulka J; Nagy A; Muhl D; Mohacsi R; Dank M; Garay T; Harsanyi L; Gyorffy B; Szasz AM
Article: ANNALS OF ONCOLOGY. 2022;33(1):89-98
Improved breast cancer histological grading using deep learning
Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wahlby C; Hartman J; Rantalainen M
Article: NPJ BREAST CANCER. 2021;7(1):144
Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study
Zerdes I; Simonetti M; Matikas A; Harbers L; Acs B; Boyaci C; Zhang N; Salgkamis D; Agartz S; Moreno-Ruiz P; Bai Y; Rimm DL; Hartman J; Mezheyeuski A; Bergh J; Crosetto N; Foukakis T
Article: BIOMOLECULES. 2021;11(11):1612
Independent Clinical Validation of the Automated Ki67 Scoring Guideline from the International Ki67 in Breast Cancer Working Group
Boyaci C; Sun W; Robertson S; Acs B; Hartman J
Article: VETERINARY SCIENCES. 2021;8(10):235
In Situ Hybridization of PRRSV-1 Combined with Digital Image Analysis in Lung Tissues of Pigs Challenged with PRRSV-1
Denes L; Horvath DG; Duran O; Ratkhjen PH; Kraft C; Acs B; Szasz AM; Ruemenapf T; Papp M; Ladinig A; Balka G
Article: CLINICAL CANCER RESEARCH. 2021;27(20):5557-5565
An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer
Bai Y; Cole K; Martinez-Morilla S; Ahmed FS; Zugazagoitia J; Staaf J; Bosch A; Ehinger A; Nimeus E; Hartman J; Acs B; Rimm DL
Article: CANCER RESEARCH. 2021;81(19):5115-5126
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Acs B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Article: CANCERS. 2021;13(19):4910
Interobserver Agreement of PD-L1/SP142 Immunohistochemistry and Tumor-Infiltrating Lymphocytes (TILs) in Distant Metastases of Triple-Negative Breast Cancer: A Proof-of-Concept Study. A Report on Behalf of the International Immuno-Oncology Biomarker Working Group
Van Bockstal MR; Cooks M; Nederlof I; Brinkhuis M; Dutman A; Koopmans M; Kooreman L; van der Vegt B; Verhoog L; Vreuls C; Westenend P; Kok M; van Diest PJ; Nauwelaers I; Laudus N; Denkert C; Rimm D; Siziopikou KP; Ely S; Zardavas D; Roberts M; Floris G; Hartman J; Acs B; Peeters D; Bartlett JMS; Dequeker E; Salgado R; Giudici F; Michiels S; Horlings H; van Deurzen CHM
Article: MODERN PATHOLOGY. 2021;34(7):1261-1270
A new tool for technical standardization of the Ki67 immunohistochemical assay
Aung TN; Acs B; Warrell J; Bai Y; Gaule P; Martinez-Morilla S; Vathiotis I; Shafi S; Moutafi M; Gerstein M; Freiberg B; Fulton R; Rimm DL
Article: JOURNAL OF THE NATIONAL CANCER INSTITUTE. 2021;113(7):808-819
Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group
Nielsen TO; Leung SCY; Rimm DL; Dodson A; Acs B; Badve S; Denkert C; Ellis MJ; Fineberg S; Flowers M; Kreipe HH; Laenkholm A-V; Pan H; Penault-Llorca FM; Polley M-Y; Salgado R; Smith IE; Sugie T; Bartlett JMS; McShane LM; Dowsett M; Hayes DF
Article: ESMO OPEN. 2021;6(2):100076
bPrognostic role of serum thymidine kinase 1 kinetics during neoadjuvant chemotherapy for early breast cancer
Matikas A; Wang K; Lagoudaki E; Acs B; Zerdes I; Hartman J; Azavedo E; Bjohle J; Carlsson L; Einbeigi Z; Hedenfalk I; Hellstrom M; Lekberg T; Loman N; Saracco A; von Wachenfeldt A; Rotstein S; Bergqvist M; Bergh J; Hatschek T; Foukakis T
Article: CANCERS. 2021;13(5):1166
Variability in Breast Cancer Biomarker Assessment and the Effect on Oncological Treatment Decisions: A Nationwide 5-Year Population-Based Study
Acs B; Fredriksson I; Ronnlund C; Hagerling C; Ehinger A; Kovacs A; Roge R; Bergh J; Hartman J
Article: SCIENTIFIC REPORTS. 2021;11(1):2809
Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR; Friesner ID; Rizk EM; Fullerton BT; Mondal M; Trager MH; Mendelson K; Chikeka I; Kurc T; Gupta R; Rohr BR; Robinson EJ; Acs B; Chang R; Kluger H; Taback B; Geskin LJ; Horst B; Gardner K; Niedt G; Celebi JT; Gartrell-Corrado RD; Messina J; Ferringer T; Rimm DL; Saltz J; Wang J; Vanguri R; Saenger YM
Article: BREAST CANCER RESEARCH AND TREATMENT. 2020;183(1):161-175
Prognostic potential of automated Ki67 evaluation in breast cancer: different hot spot definitions versus true global score
Robertson S; Acs B; Lippert M; Hartman J
Article: CLINICAL CANCER RESEARCH. 2020;26(5):1126-1134
Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Pradhan JS; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wang PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Article: LABORATORY INVESTIGATION. 2020;100(1):4-15
Quantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarray
Martinez-Morilla S; McGuire J; Gaule P; Moore L; Acs B; Cougot D; Gown AM; Yaziji H; Wang W-L; Cartun RW; Hornick JL; Sholl LM; Qiu J; Mino-Kenudson M; Yi ES; Beasley MB; Merrick DT; Ambaye AB; Zhang ZJ; Walker J; Rimm DL
Article: NATURE COMMUNICATIONS. 2019;10(1):5440
An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
Acs B; Ahmed FS; Gupta S; Wong PF; Gartrell RD; Pradhan JS; Rizk EM; Rothberg BG; Saenger YM; Rimm DL
Journal article: JOURNAL OF CLINICAL ONCOLOGY. 2019;37(15_suppl):9577
Prediction of distant melanoma recurrence from primary tumor digital H&E images using deep learning.
Robinson E; Kulkarni PM; Pradhan JS; Gartrell RD; Yang C; Rizk EM; Acs B; Rohr B; Phelps R; Ferringer T; Horst B; Rimm DL; Wang J; Saenger YM
Article: CLINICAL CANCER RESEARCH. 2019;25(8):2442-2449
Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF; Wei W; Smithy JW; Acs B; Toki MI; Blenman KRM; Zelterman D; Kluger HM; Rimm DL
Article: NPJ BREAST CANCER. 2019;5:28
Quantitative assessments and clinical outcomes in HER2 equivocal 2018 ASCO/CAP ISH group 4 breast cancer
Gupta S; Neumeister V; McGuire J; Song YS; Acs B; Ho K; Weidler J; Wong W; Rhees B; Bates M; Rimm DL; Bossuyt V
Article: LABORATORY INVESTIGATION. 2019;99(1):107-117
Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study
Acs B; Pelekanou V; Bai Y; Martinez-Morilla S; Toki M; Leung SCY; Nielsen TO; Rimm DL
Article: APPLIED IMMUNOHISTOCHEMISTRY AND MOLECULAR MORPHOLOGY. 2018;26(7):e79-e85
Expression of PD-L1 on Immune Cells Shows Better Prognosis in Laryngeal, Oropharygeal, and Hypopharyngeal Cancer
Birtalan E; Danos K; Gurbi B; Brauswetter D; Halasz J; Piurko VK; Antal B; Mihalyi R; Pato A; Fent Z; Polony G; Timar J; Tamas L
Article: CANCER CHEMOTHERAPY AND PHARMACOLOGY. 2018;82(1):139-147
LAPTM4B gene copy number gain is associated with inferior response to anthracycline-based chemotherapy in hormone receptor negative breast carcinomas
Rusz O; Papp O; Vizkeleti L; Molnar BA; Bende KC; Lotz G; Acs B; Kahan Z; Szekely T; Bathori A; Szundi C; Kulka J; Szallasi Z; Tokes A-M
Article: PATHOLOGY AND ONCOLOGY RESEARCH. 2018;24(1):115-127
Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer
Acs B; Madaras L; Kovacs KA; Micsik T; Tokes A-M; Gyorffy B; Kulka J; Szasz AM
Article: BREAST. 2017;35:69-77
PD-1, PD-L1 and CTLA-4 in pregnancy-related - and in early-onset breast cancer: A comparative study
Acs B; Madaras L; Tokes A-M; Kovacs AK; Kovacs E; Ozsvari-Vidakovich M; Karaszi A; Birtalan E; Dank M; Szasz AM; Kulka J
Article: HUMAN PATHOLOGY. 2017;65:31-40
Comparison of 5 Ki-67 antibodies regarding reproducibility and capacity to predict prognosis in breast cancer: does the antibody matter?
Acs B; Kulka J; Kovacs KA; Teleki I; Tokes A-M; Meczker A; Gyorffy B; Madaras L; Krenacs T; Szasz AM
Article: VIRCHOWS ARCHIV. 2017;470(3):275-283
Breast carcinoma subtypes show different patterns of metastatic behavior
Molnar IA; Molnar BA; Vizkeleti L; Fekete K; Tamas J; Deak P; Szundi C; Szekely B; Moldvay J; Vari-Kakas S; Szasz MA; Acs B; Kulka J; Tokes A-M
Article: DIAGNOSTIC PATHOLOGY. 2017;12(1):20-12
Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy
Acs B; Zambo V; Vizkeleti L; Szazs AM; Madaras L; Szentmartoni G; Tokes T; Molnar BA; Molnar IA; Vari-Kakas S; Kulka J; Tokes A-M
Article: DIAGNOSTIC PATHOLOGY. 2016;11(1):61
In depth evaluation of the prognostic and predictive utility of PTEN immunohistochemistry in colorectal carcinomas: performance of three antibodies with emphasis on intracellular and intratumoral heterogeneity
Agoston EI; Micsik T; Acs B; Fekete K; Hahn O; Baranyai Z; Dede K; Bodoky G; Bursics A; Kulka J; Krenacs T; Gyorffy B; Harsanyi L; Szasz AM
Article: DIAGNOSTIC CYTOPATHOLOGY. 2016;44(6):466-471
Reliability of Immunocytochemistry and Fluorescence in situ Hybridization on Fine-Needle Aspiration Cytology Samples of Breast Cancers: A Comparative Study
Acs B; Szekely N; Szasz AM; Lotz G; Szekely T; Istok R; Szekely E; Madaras L; Kulka J; Jaray B
Journal article: CANCER RESEARCH. 2016;76(4_Supplement):p1-01-02-p1-01-02
Abstract P1-01-02: Ki-67 proliferation index supported by digital quantitation in breast cancer: A comparative study
Acs B; Madaras L; Kovacs K; Tokes A-M; Kulka J; Szasz A
Article: PATHOLOGY RESEARCH AND PRACTICE. 2016;212(2):73-76
The Petersen prognostic index revisited in Dukes B colon cancer - Inter-institutional differences
Cserni G; Bori R; Sejben I; Agoston EI; Acs B; Szasz AM
Article: NPJ BREAST CANCER. 2016;2:16033
AXL-associated tumor inflammation as a poor prognostic signature in chemotherapy-treated triple-negative breast cancer patients.
Bottai G; Raschioni C; Székely B; Di Tommaso L; Szász AM; Losurdo A; Győrffy B; Ács B; Torrisi R; Karachaliou N; Tőkés T; Caruso M; Kulka J; Roncalli M; Santoro A; Mantovani A; Rosell R; Reis-Filho JS; Santarpia L
Article: MAGYAR ONKOLOGIA. 2015;59(4):286-291
[Clinico-pathologically focused breast cancer research].
Kulka J; Tõkés A-M; Madaras L; Kovács A; Ács B; Illyés I; Kiss O; Székely B; Lotz G; Szász MA
Article: CURRENT CANCER DRUG TARGETS. 2015;15(8):643-651
Current State of ERG as Biomarker in Prostatic Adenocarcinoma
Acs B; Szarvas T; Szekely N; Nyirady P; Szasz AM
Article: MAGYAR SEBESZET. 2014;67(6):329-333
[Is it radical enough? Transanal endoscopic microsurgery for the treatment of rectal neoplasia -- clinicopathological viewpoint].
Ács B; Szász AM; Kulka J; Harsányi L; Zaránd A
Article: ORVOSI HETILAP. 2013;154(16):627-632
Prediction of the prognosis of breast cancer in routine histologic specimens using a simplified, low-cost gene expression signature
Szasz AM; Acs B; Agoston E; Sztupinszki Z; Tokes A-M; Szittya L; Szekely B; Szendroi M; Li Q; Harsanyi L; Timar J; Szallasi Z; Swanton C; Gyorffy B; Kulka J
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Alla övriga publikationer

Editorial comment: HISTOPATHOLOGY. 2024;84(6):915-923
Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research
Ly A; Garcia V; Blenman KRM; Ehinger A; Elfer K; Hanna MG; Li X; Peeters DJE; Birmingham R; Dudgeon S; Gardecki E; Gupta R; Lennerz J; Pan T; Saltz J; Wharton Jr KA; Ehinger D; Acs B; Dequeker EMC; Salgado R; Gallas BD
Conference publication: ESMO OPEN. 2024;9:103110
122P Primary results and biomarker analysis from PREDIX LumB: A prospective randomized phase II trial investigating sequence of neoadjuvant chemotherapy and palbociclib/endocrine therapy for luminal breast cancer
Matikas A; Bjöhle J; Barnekow E; Isakssonfriman E; Zouzos A; Tzoras E; Johansson H; Margolin S; Acs B; Boyaci C; Sun W; Zerdes I; Kessler LE; Grybäck P; Hellström M; Hartman J; Brandberg Y; Bergh J; Hatschek T; Foukakis T
Conference publication: ESMO OPEN. 2024;9:103063
56P Longitudinal circulating plasma protein immune profiling reveals biomarkers of treatment response to neoadjuvant trastuzumab-emtansine (T-DM1) in early HER2-positive breast cancer: A secondary analysis of the phase II PREDIX HER2 trial
Zerdes I; Wang K; Salgkamis D; Zhu Y; Sifakis EG; Acs B; Hartman J; Hatschek T; Bergh J; Matikas A; Foukakis T
Preprint: RESEARCH SQUARE. 2024
Adherence to and optimization of guidelines for Risk of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study
Kjällquist U; Tsiknakis N; Acs B; Margolin S; Kessler LE; Levy S; Ekholm M; Lundgren C; Olsson E; Lindman H; Valachis A; Hartman J; Foukakis T; Matikas A
Review: JOURNAL OF PATHOLOGY. 2024;262(3):271-288
Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer
Jahangir CA; Page DB; Broeckx G; Gonzalez CA; Burke C; Murphy C; Reis-Filho JS; Ly A; Harms PW; Gupta RR; Vieth M; Hida AI; Kahila M; Kos Z; van Diest PJ; Verbandt S; Thagaard J; Khiroya R; Abduljabbar K; Haab GA; Acs B; Adams S; Almeida JS; Alvarado-Cabrero I; Azmoudeh-Ardalan F; Badve S; Baharun NB; Bellolio ER; Bheemaraju V; Blenman KRM; Fujimoto LBM; Burgues O; Chardas A; Cheang MCU; Ciompi F; Cooper LAD; Coosemans A; Corredor G; Portela FLD; Deman F; Demaria S; Dudgeon SN; Elghazawy M; Fernandez-Martin C; Fineberg S; Fox SB; Giltnane JM; Gnjatic S; Gonzalez-Ericsson PI; Grigoriadis A; Halama N; Hanna MG; Harbhajanka A; Hart SN; Hartman J; Hewitt S; Horlings HM; Husain Z; Irshad S; Janssen EAM; Kataoka TR; Kawaguchi K; Khramtsov AI; Kiraz U; Kirtani P; Kodach LL; Korski K; Akturk G; Scott E; Kovacs A; Laenkholm A-V; Lang-Schwarz C; Larsimont D; Lennerz JK; Lerousseau M; Li X; Madabhushi A; Maley SK; Narasimhamurthy VM; Marks DK; McDonald ES; Mehrotra R; Michiels S; Kharidehal D; Minhas FUAA; Mittal S; Moore DA; Mushtaq S; Nighat H; Papathomas T; Penault-Llorca F; Perera RD; Pinard CJ; Pinto-Cardenas JC; Pruneri G; Pusztai L; Rajpoot NM; Rapoport BL; Rau TT; Ribeiro JM; Rimm D; Vincent-Salomon A; Saltz J; Sayed S; Hytopoulos E; Mahon S; Siziopikou KP; Sotiriou C; Stenzinger A; Sughayer MA; Sur D; Symmans F; Tanaka S; Taxter T; Tejpar S; Teuwen J; Thompson EA; Tramm T; Tran WT; van Der Laak J; Verghese GE; Viale G; Wahab N; Walter T; Waumans Y; Wen HY; Yang W; Yuan Y; Bartlett J; Loibl S; Denkert C; Savas P; Loi S; Stovgaard ES; Salgado R; Gallagher WM; Rahman A
Letter: JOURNAL OF AMERICAN ACADEMY OF DERMATOLOGY. 2024;90(1):179-182
Automated scoring of tumor- infiltrating lymphocytes informs risk of death from thin melanoma: A nested case-case study
Tan SX; Aung TN; Claeson M; Acs B; Zhou C; Brown S; Lambie D; Baade PD; Pandeya N; Soyer HP; Smithers BM; Whiteman DC; Rimm DL; Khosrotehrani K
Preprint: RESEARCH SQUARE. 2023
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay
Robertson S; Wang Y; Sun W; Karlsson E; Lövgren SK; Acs B; Rantalainen M; Hartman J
Meeting abstract: ANNALS OF ONCOLOGY. 2023;34:s307-s308
Machine learning-based characterization of tumor-immune microenvironment at a spatial and multiplexed resolution in early breast cancer: A sub-study of the EORTC 10994/BIG 1-00 randomized phase III trial with long-term follow-up
Zerdes I; Matikas A; Mezheyeuski A; Acs B; Johansson H; Manikis G; Boyaci C; Boman CE; Poncet C; Ignatiadis M; Bai Y; Rimm D; MacGrogan G; Cameron DA; Bergh J; Bonnefoi H; Foukakis T
Preprint: MEDRXIV. 2023
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay
Wang Y; Sun W; Karlsson E; Lövgren SK; Ács B; Rantalainen M; Rantalainen M; Robertson S; Hartman J
Review: JOURNAL OF PATHOLOGY. 2023;260(5):498-513
Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group
Thagaard J; Broeckx G; Page DB; Jahangir CA; Verbandt S; Kos Z; Gupta R; Khiroya R; Abduljabbar K; Acosta Haab G; Acs B; Akturk G; Almeida JS; Alvarado-Cabrero I; Amgad M; Azmoudeh-Ardalan F; Badve S; Baharun NB; Balslev E; Bellolio ER; Bheemaraju V; Blenman KRM; Botinelly Mendonca Fujimoto L; Bouchmaa N; Burgues O; Chardas A; Cheang MU; Ciompi F; Cooper LAD; Coosemans A; Corredor G; Dahl AB; Dantas Portela FL; Deman F; Demaria S; Dore Hansen J; Dudgeon SN; Ebstrup T; Elghazawy M; Fernandez-Martin C; Fox SB; Gallagher WM; Giltnane JM; Gnjatic S; Gonzalez-Ericsson PI; Grigoriadis A; Halama N; Hanna MG; Harbhajanka A; Hart SN; Hartman J; Hauberg S; Hewitt S; Hida AI; Horlings HM; Husain Z; Hytopoulos E; Irshad S; Janssen EAM; Kahila M; Kataoka TR; Kawaguchi K; Kharidehal D; Khramtsov AI; Kiraz U; Kirtani P; Kodach LL; Korski K; Kovacs A; Laenkholm A-V; Lang-Schwarz C; Larsimont D; Lennerz JK; Lerousseau M; Li X; Ly A; Madabhushi A; Maley SK; Manur Narasimhamurthy V; Marks DK; McDonald ES; Mehrotra R; Michiels S; Minhas FUAA; Mittal S; Moore DA; Mushtaq S; Nighat H; Papathomas T; Penault-Llorca F; Perera RD; Pinard CJ; Pinto-Cardenas JC; Pruneri G; Pusztai L; Rahman A; Rajpoot NM; Rapoport BL; Rau TT; Reis-Filho JS; Ribeiro JM; Rimm D; Roslind A; Vincent-Salomon A; Salto-Tellez M; Saltz J; Sayed S; Scott E; Siziopikou KP; Sotiriou C; Stenzinger A; Sughayer MA; Sur D; Fineberg S; Symmans F; Tanaka S; Taxter T; Tejpar S; Teuwen J; Thompson EA; Tramm T; Tran WT; van Der Laak J; van Diest PJ; Verghese GE; Viale G; Vieth M; Wahab N; Walter T; Waumans Y; Wen HY; Yang W; Yuan Y; Zin RM; Adams S; Bartlett J; Loibl S; Denkert C; Savas P; Loi S; Salgado R; Specht Stovgaard E
Review: JOURNAL OF PATHOLOGY. 2023;260(5):514-532
Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
Page DB; Broeckx G; Jahangir CA; Jahangir C; Verbandt S; Gupta RR; Thagaard J; Khiroya R; Kos Z; Abduljabbar K; Acosta Haab G; Acs B; Almeida JS; Alvarado-Cabrero I; Azmoudeh-Ardalan F; Badve S; Baharun NB; Bellolio ER; Bheemaraju V; Blenman KRM; Botinelly Mendonca Fujimoto L; Burgues O; Cheang MCU; Ciompi F; Cooper LAD; Coosemans A; Corredor G; Dantas Portela FL; Deman F; Demaria S; Dudgeon SN; Elghazawy M; Ely S; Fernandez-Martin C; Fineberg S; Fox SB; Gallagher WM; Giltnane JM; Gnjatic S; Gonzalez-Ericsson PI; Grigoriadis A; Halama N; Hanna MG; Harbhajanka A; Hardas A; Hart SN; Hartman J; Hewitt S; Hida AI; Horlings HM; Husain Z; Hytopoulos E; Irshad S; Janssen EAM; Kahila M; Kataoka TR; Kawaguchi K; Kharidehal D; Khramtsov AI; Kiraz U; Kirtani P; Kodach LL; Korski K; Kovacs A; Laenkholm A-V; Lang-Schwarz C; Larsimont D; Lennerz JK; Lerousseau M; Li X; Ly A; Madabhushi A; Maley SK; Manur Narasimhamurthy V; Marks DK; McDonald ES; Mehrotra R; Michiels S; Minhas FUAA; Mittal S; Moore DA; Mushtaq S; Nighat H; Papathomas T; Penault-Llorca F; Perera RD; Pinard CJ; Pinto-Cardenas JC; Pruneri G; Pusztai L; Rahman A; Rajpoot NM; Rapoport BL; Rau TT; Reis-Filho JS; Ribeiro JM; Rimm D; Salomon A-V; Salto-Tellez M; Saltz J; Sayed S; Siziopikou KP; Sotiriou C; Stenzinger A; Sughayer MA; Sur D; Symmans F; Tanaka S; Taxter T; Tejpar S; Teuwen J; Thompson EA; Tramm T; Tran WT; van Der Laak J; van Diest PJ; Verghese GE; Viale G; Vieth M; Wahab N; Walter T; Waumans Y; Wen HY; Yang W; Yuan Y; Adams S; Bartlett JMS; Loibl S; Denkert C; Savas P; Loi S; Salgado R; Specht Stovgaard E; Akturk G; Bouchmaa N
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S2 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary File S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S3 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S3 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary File S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S3 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Figure S2 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S1 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S2 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S2 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Table S3 from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial
Matikas A; Johansson H; Grybäck P; Bjöhle J; Acs B; Boyaci C; Lekberg T; Fredholm H; Elinder E; Margolin S; Isaksson-Friman E; Bosch A; Lindman H; Adra J; Andersson A; Agartz S; Hellström M; Zerdes I; Hartman J; Bergh J; Hatschek T; Foukakis T
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF; Wei W; Smithy JW; Acs B; Toki MI; Blenman KRM; Zelterman D; Kluger HM; Rimm DL
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF; Wei W; Smithy JW; Acs B; Toki MI; Blenman KRM; Zelterman D; Kluger HM; Rimm DL
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF; Wei W; Smithy JW; Acs B; Toki MI; Blenman KRM; Zelterman D; Kluger HM; Rimm DL
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma
Wong PF; Wei W; Smithy JW; Acs B; Toki MI; Blenman KRM; Zelterman D; Kluger HM; Rimm DL
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Data from Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death
Kulkarni PM; Robinson EJ; Sarin Pradhan J; Gartrell-Corrado RD; Rohr BR; Trager MH; Geskin LJ; Kluger HM; Wong PF; Acs B; Rizk EM; Yang C; Mondal M; Moore MR; Osman I; Phelps R; Horst BA; Chen ZS; Ferringer T; Rimm DL; Wang J; Saenger YM
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART2) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART1) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF1 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF1 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S6 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF2 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF4 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART2) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Methods from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF3 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S6 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF2 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF4 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Methods from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Tables from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Tables from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF3 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART1) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Preprint: ARXIV. 2023
Increasing the usefulness of already existing annotations through WSI registration
Weitz P; Sartor V; Acs B; Robertson S; Budelmann D; Hartman J; Rantalainen M
Editorial comment: CANCERS. 2022;14(15):3762
External Quality Assessment 2.0: The Importance of a Standardized Implementation of TILs for Daily and Trial Practices
Nauwelaers I; Laudus N; Peeters D; Acs B; Denkert C; Michiels S; Horlings H; Siziopikou KP; Ely S; Zardavas D; Mustimbo R; Bartlett J; Floris G; Hartman J; van Deurzen CHM; Ceusters D; Dequeker E; Salgado R
Conference publication: JOURNAL OF CLINICAL ONCOLOGY. 2022;40(16_suppl):593
Combined assessment of metabolic response and tumor infiltrating lymphocytes as a predictor of outcomes following neoadjuvant therapy for HER2-positive breast cancer: Results from the randomized PREDIX HER2 trial.
Matikas A; Johansson H; Grybäck P; Bjöhle J; Lekberg T; Fredholm H; Acs B; Elinder E; Isaksson-Friman E; Agartz S; Hellstrom M; Zerdes I; Hartman J; Bergh JCS; Hatschek T; Foukakis T
Conference publication: JOURNAL OF CLINICAL ONCOLOGY. 2022;40(16)
Combined assessment of metabolic response and tumor infiltrating lymphocytes as a predictor of outcomes following neoadjuvant therapy for HER2-positive breast cancer: Results from the randomized PREDIX HER2 trial.
Matikas A; Johansson H; Gryback P; Bjohle J; Lekberg T; Fredholm H; Acs B; Elinder E; Isaksson-Friman E; Agartz S; Hellstrom M; Zerdes I; Hartman J; Bergh JCS; Hatschek T; Foukakis T
Editorial comment: EBIOMEDICINE. 2021;70:103520
What do we still need to learn on digitally assessed biomarkers?
Acs B; Salgado R; Hartman J
Review: JOURNAL OF INTERNAL MEDICINE. 2020;288(1):62-81
Artificial intelligence as the next step towards precision pathology
Acs B; Rantalainen M; Hartman J
Meeting abstract: CANCER RESEARCH. 2020;80(4):p5-02-07-p5-02-07
Distribution of biomarker evaluation scores among the pathology departments of Sweden: Comparison study of 35,066 breast cancer cases
Acs B; Fredriksson I; Wilking U; Robertson S; Hartman J
Conference publication: CANCER RESEARCH. 2020;80(4):p3-08-12-p3-08-12
An open source, automated tumor infiltrating lymphocyte algorithm for prognosis in triple-negative breast cancer
Bai Y; Acs B; Zugazagoitia J; Martinez-Morilla S; Ahmed FS; Rimm DL
Conference publication: CANCER RESEARCH. 2020;80(4):p5-02-01-p5-02-01
Analytical validation and prognostic potential of an automated digital scoring protocol for Ki67: An International Ki67 Working Group study
Acs B; Leung SCY; Kidwell KM; Arun I; Augulis R; Badve SS; Bai Y; Bane AL; Bartlett JMS; Bayani J; Bigras G; Blank A; Borgquist S; Buikema H; Chang MC; Dietz RL; Dodson A; Ehinger A; Fineberg S; Focke CM; Gao D; Gown AM; Gutierrez C; Hartman J; Hugh JC; Kos Z; Laenkholm A-V; Laurinavicius A; Levenson RM; Mahboubi-Ardakani R; Mastropasqua MG; Moriya T; Nofech-Mozes S; Osborne CK; Pantanowitz L; Penault-Llorca FM; Piper T; Quintayo MA; Rau TT; Reinhard S; Robertson S; Sakatani T; Salgado R; Spears M; Tarczynski JS; Sugie T; van der Vegt B; Viale G; Virk S; Zabaglo LA; Hayes DF; Dowsett M; Nielsen TO; Rimm DL
Editorial comment: JOURNAL OF PATHOLOGY. 2020;250(1):7-8
Next generation pathology: artificial intelligence enhances histopathology practice
Acs B; Hartman J
Conference publication: CANCER RESEARCH. 2019;79(4):p4-02-01-p4-02-01
Analytical validation of an automated digital scoring protocol for Ki67: International multicenter collaboration study
Acs B; Leung SC; Pelekanou V; Bai Y; Martinez-Morilla S; Toki M; Chang MC; Gholap A; Jadhav A; Hugh JC; Bigras G; Laurinavicius A; Augulis R; Levenson R; Todd A; Piper T; Virk S; van der Vegt B; Hayes DF; Dowsett M; Nielsen TO; Rimm DL
Editorial comment: JAMA ONCOLOGY. 2018;4(3):403-404
Not Just Digital Pathology, Intelligent Digital Pathology
Acs B; Rimm DL
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