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Fabian Isensee

Showing results (31-40 of 51) with videos related to

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The Lancet. Digital Health|October 24, 2021
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort studyChandrakanth Jayachandran Preetha, Hagen Meredig, Gianluca Brugnara, et al.
Nature Communications|February 9, 2026
Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetesLukas Klein, Sebastian Ziegler, Felicia Gerst, et al.
IEEE Transactions on Medical Imaging|April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical ImagesDavid Zimmerer, Peter M Full, Fabian Isensee, et al.
Medical Image Analysis|May 8, 2026
Multi-structure segmentation in CBCT volumes: The ToothFairy2 challengeFederico Bolelli, Luca Lumetti, Niels van Nistelrooij, et al.
IEEE Transactions on Medical Imaging|January 1, 2026
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 ChallengeYudi Sang, Yanzhen Liu, Sutuke Yibulayimu, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 30, 2025
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain GeneralizationJakob Dexl, Sergios Gatidis, Marcel Früh, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Research Square|June 8, 2021
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor Diez, et al.
Medical Image Analysis|October 13, 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challengeNicholas Heller, Fabian Isensee, Klaus H Maier-Hein, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Pageof 6

Showing results (31-40 of 51) with videos related to

Sort By:
Pageof 6
The Lancet. Digital Health|October 24, 2021
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort studyChandrakanth Jayachandran Preetha, Hagen Meredig, Gianluca Brugnara, et al.
Nature Communications|February 9, 2026
Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetesLukas Klein, Sebastian Ziegler, Felicia Gerst, et al.
IEEE Transactions on Medical Imaging|April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical ImagesDavid Zimmerer, Peter M Full, Fabian Isensee, et al.
Medical Image Analysis|May 8, 2026
Multi-structure segmentation in CBCT volumes: The ToothFairy2 challengeFederico Bolelli, Luca Lumetti, Niels van Nistelrooij, et al.
IEEE Transactions on Medical Imaging|January 1, 2026
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 ChallengeYudi Sang, Yanzhen Liu, Sutuke Yibulayimu, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 30, 2025
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain GeneralizationJakob Dexl, Sergios Gatidis, Marcel Früh, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Research Square|June 8, 2021
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor Diez, et al.
Medical Image Analysis|October 13, 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challengeNicholas Heller, Fabian Isensee, Klaus H Maier-Hein, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Pageof 6