Gregor Koehler

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image\n Segmentation

Fabian Isensee, Jens Petersen, André Klein et al. · arXiv (Cornell University) · 2018 · 389 citations · Full text

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Saikat Roy, Tassilo Wald, Gregor Koehler et al. · arXiv (Cornell University) · 2023 · 64 citations · Full text

Medical Image Segmentation, Engineering, Machine Learning +23

Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study

Klaus Kades, Jan Sellner, Gregor Koehler et al. · JMIR Medical Informatics · 2020 · 22 citations · Full text

Engineering, Multilingual Pretraining, Semantic Similarity +22

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

Jun Ma, Yao Zhang, Song Gu et al. · arXiv (Cornell University) · 2023 · 19 citations · Full text

Artificial Intelligence, Flare 2022, Engineering +23

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Saikat Roy, Gregor Koehler, Constantin Ulrich et al. · arXiv (Cornell University) · 2023 · 17 citations · Full text