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Simon Kohl
Simon Kohl
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
29282021
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
708*2021
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
5172021
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
4112018
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 spotlight), 2018
2902018
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
1472019
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 Götz, ...
Radiology 289 (1), 128-137, 2018
1302018
Adversarial Networks for Prostate Cancer Detection
S Kohl, D Bonekamp, HP Schlemmer, K Yaqubi, M Hohenfellner, ...
Machine Learning for Health workshop, NIPS 2017, 2017
121*2017
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
1142018
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
1042020
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
812020
Context-encoding variational autoencoder for unsupervised anomaly detection
D Zimmerer, SAA Kohl, J Petersen, F Isensee, KH Maier-Hein
MIDL 2019, Conference Abstract, 2018
732018
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, AF Team
DeepMind Website, 2020
65*2020
Unsupervised Anomaly Localization using Variational Auto-Encoders
D Zimmerer, F Isensee, J Petersen, S Kohl, K Maier-Hein
MICCAI 2019, 2019
512019
Applying and improving AlphaFold at CASP14
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021
482021
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
362019
Deep Probabilistic Modeling of Glioma Growth
J Petersen, PF Jäger, F Isensee, SAA Kohl, U Neuberger, W Wick, ...
MICCAI 2019, 2019
192019
batchgenerators—a python framework for data augmentation
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Zenodo https://doi. org/10.5281/zenodo 3632567, 2020
18*2020
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
132015
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
102018
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