Philippe Weitz

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Article: MEDICAL IMAGE ANALYSIS. 2024;97:103257
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Robertson S; Marzahl C; Gatenbee CD; Anderson ARA; Wodzinski M; Jurgas A; Marini N; Atzori M; Müller H; Budelmann D; Weiss N; Heldmann S; Lotz J; Wolterink JM; De Santi B; Patil A; Sethi A; Kondo S; Kasai S; Hirasawa K; Farrokh M; Kumar N; Greiner R; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Article: BREAST CANCER RESEARCH. 2024;26(1):90
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images
Boissin C; Wang Y; Sharma A; Weitz P; Karlsson E; Robertson S; Hartman J; Rantalainen M
Article: BREAST CANCER RESEARCH. 2024;26(1):17
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
Article: SCIENTIFIC DATA. 2023;10(1):562
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Article: ISCIENCE. 2022;25(7):104663
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
Liu B; Wang Y; Weitz P; Lindberg J; Hartman J; Wang W; Egevad L; Gronberg H; Eklund M; Rantalainen M
Article: BIOINFORMATICS. 2022;38(13):3462-3469
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Gronberg H; Eklund M; Rantalainen M
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
Journal article: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. 2017;11(1):225-233
SensInDenT-Noncontact Sensors Integrated Into Dental Treatment Units
Teichmann D; Teichmann M; Weitz P; Wolfart S; Leonhardt S; Walter M

Alla övriga publikationer

Doctoral thesis: 2023
Artificial intelligence in histopathology image analysis for cancer precision medicine
Weitz P
Conference publication: 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021). 2021;:611-619
An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives
Weitz P; Wang Y; Hartman J; Rantalainen M
Preprint: RESEARCH SQUARE. 2021
A Deep CNN Approach For Predicting Cumulative Incidence Based On Pseudo-Observations
Ginestet PG; Weitz P; Rantalainen M; Gabriel E
Conference publication: 2020;00:1188-1192
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations
Haarburger C; Schock J; Truhn D; Weitz P; Mueller-Franzes G; Weninger L; Merhof D
Conference publication: 2019;00:1197-1201
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS
Haarburger C; Weitz P; Rippel O; Merhof D

Anställningar

Forskningsspecialist, Medicinsk epidemiologi och biostatistik, Karolinska Institutet, 2026-2027
Forskningsspecialist, Medicinsk epidemiologi och biostatistik, Karolinska Institutet, 2026-2026

Examina och utbildning

Medicine Doktorsexamen, Institutionen för medicinsk epidemiologi och biostatistik, Karolinska Institutet, 2023

Artiklar

Alla övriga publikationer

Anställningar

Examina och utbildning

Nyheter från KI

Kalenderhändelser från KI