Jakub Olczak

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Article: EUROPEAN JOURNAL OF TRAUMA AND EMERGENCY SURGERY. 2023;49(2):1057-1069

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

Prijs J; Liao Z; To M-S; Verjans J; Jutte PC; Stirler V; Olczak J; Gordon M; Guss D; DiGiovanni CW; Jaarsma RL; IJpma FFA; Doornberg JN
Article: BONE & JOINT JOURNAL. 2022;104B(8):911-914

Artificial intelligence and computer vision in orthopaedic trauma THE WHY, HOW, AND WHAT

Prijs J; Liao Z; Ashkani-Esfahani S; Olczak J; Gordon M; Jayakumar P; Jutte PC; Jaarsma RL; IJpma FFA; Doornberg JN
Article: BONE & JOINT OPEN. 2021;2(10):879-885

An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics ARE THESE EXTERNALLY VALIDATED AND READY FOR CLINICAL APPLICATION?

Carmo LOE; van den Merkhof A; Olczak J; Gordon M; Jutte PC; Jaarsma RL; Ijpma FFA; Doornberg JN; Prijs J
Article: ACTA ORTHOPAEDICA. 2021;92(5):513-525

Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

Olczak J; Pavlopoulos J; Prijs J; Ijpma FFA; Doornberg JN; Lundstrom C; Hedlund J; Gordon M
Article: ACTA ORTHOPAEDICA. 2021;92(1):102-108

Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification

Olczak J; Emilson F; Razavian A; Antonsson T; Stark A; Gordon M
Article: ACTA ORTHOPAEDICA. 2017;88(6):581-586

Artificial intelligence for analyzing orthopedic trauma radiographs Deep learning algorithms-are they on par with humans for diagnosing fractures?

Olczak J; Fahlberg N; Maki A; Razavian AS; Jilert A; Stark A; Skoldenberg O; Gordon M

Alla övriga publikationer

Review: SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY. 2016;51:44-52

Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networks

Kiani NA; Zenil H; Olczak J; Tegner J

Anställningar

Doktorand, Kliniska vetenskaper, Danderyds sjukhus, Karolinska Institutet, 2022-2025

Examina och utbildning

Läkarexamen, Karolinska Institutet, 2018

Artiklar

Alla övriga publikationer

Anställningar

Examina och utbildning

Nyheter från KI

Kalenderhändelser från KI