Simon Kohl
Title
Cited by
Cited by
Year
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
MICCAI 2018, Medical Segmentation Decathlon Challenge Entry, 2018
1902018
A Probabilistic U-Net for Segmentation of Ambiguous Images
SAA Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in Neural Information Processing Systems (NeurIPS), 2018
1642018
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
F Isensee, PF Jaeger, SAA Kohl, J Petersen, KH Maier-Hein
Nature Methods 18 (2), 203-211, 2021
131*2021
Adversarial Networks for Prostate Cancer Detection
S Kohl, D Bonekamp, HP Schlemmer, K Yaqubi, M Hohenfellner, ...
Machine Learning for Health workshop, NIPS 2017, 2017
93*2017
Radiomic machine learning for characterization of prostate lesions with MRI: comparison to ADC values
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Gtz, ...
Radiology 289 (1), 128-137, 2018
682018
Retina U-Net: Embarrassingly simple exploitation of segmentation supervision for medical object detection
PF Jaeger, SAA Kohl, S Bickelhaupt, F Isensee, TA Kuder, HP Schlemmer, ...
ML4H Workshop, NeurIPS 2019, 2018
582018
Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment
P Schelb, S Kohl, JP Radtke, M Wiesenfarth, P Kickingereder, ...
Radiology 293 (3), 607-617, 2019
452019
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, AF Team
DeepMind Website, 2020
37*2020
Context-encoding variational autoencoder for unsupervised anomaly detection
D Zimmerer, SAA Kohl, J Petersen, F Isensee, KH Maier-Hein
MIDL 2019, Conference Abstract, 2018
282018
High Accuracy Protein Structure Prediction Using Deep Learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
162020
Unsupervised Anomaly Localization using Variational Auto-Encoders
D Zimmerer, F Isensee, J Petersen, S Kohl, K Maier-Hein
MICCAI 2019, 2019
152019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
SAA Kohl, B Romera-Paredes, KH Maier-Hein, DJ Rezende, SM Eslami, ...
Medical Imaging meets NeurIPS Workshop, NeurIPS 2019, 2019
122019
Contrastive training for improved out-of-distribution detection
J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ...
arXiv preprint arXiv:2007.05566, 2020
112020
Deep Probabilistic Modeling of Glioma Growth
J Petersen, PF Jger, F Isensee, SAA Kohl, U Neuberger, W Wick, ...
MICCAI 2019, 2019
92019
Shallow‐impurity‐related binding energy and linear optical absorption in ring‐shaped quantum dots and quantum‐well wires under applied electric field
SAA Kohl, RL Restrepo, ME Mora‐Ramos, CA Duque
Physica Status Solidi (b) 252 (4), 786-794, 2015
92015
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients
D Zimmerer, J Petersen, SAA Kohl, KH Maier-Hein
Medical Imaging meets NeurIPS workshop, NeurIPS 2018, 2018
72018
Tutorial: Deep learning advancing the state-of-the-art in medical image analysis
V Christlein, FC Ghesu, T Wrfl, A Maier, F Isensee, P Neher, ...
Bildverarbeitung fr die Medizin 2017, 6-7, 2017
32017
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison
S Thomas, F Isensee, S Kohl, M Privalov, N Beisemann, B Swartman, ...
International journal of computer assisted radiology and surgery 14 (12…, 2019
12019
Reg R-CNN: Lesion Detection and Grading under Noisy Labels
GN Ramien, PF Jaeger, SAA Kohl, KH Maier-Hein
UNSURE Workshop, MICCAI 2019, 2019
12019
Sampling latent variables to generate multiple segmentations of an image
S Kohl, B Romera-Paredes, DJ Rezende, SM Eslami, P Kohli, ...
US Patent App. 16/881,775, 2020
2020
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Articles 1–20