| Detecting cancer metastases on gigapixel pathology images Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ... arXiv preprint arXiv:1703.02442, 2017 | 779 | 2017 |
| Artificial intelligence–based breast cancer nodal metastasis detection: insights into the black box for pathologists Y Liu, T Kohlberger, M Norouzi, GE Dahl, JL Smith, A Mohtashamian, ... Archives of pathology & laboratory medicine 143 (7), 859-868, 2019 | 375 | 2019 |
| Shape statistics in kernel space for variational image segmentation D Cremers, T Kohlberger, C Schnörr Pattern Recognition 36 (9), 1929-1943, 2003 | 345 | 2003 |
| An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis PHC Chen, K Gadepalli, R MacDonald, Y Liu, S Kadowaki, K Nagpal, ... Nature medicine 25 (9), 1453-1457, 2019 | 269 | 2019 |
| Variational optical flow computation in real time A Bruhn, J Weickert, C Feddern, T Kohlberger, C Schnorr IEEE Transactions on Image Processing 14 (5), 608-615, 2005 | 248 | 2005 |
| Nonlinear shape statistics in mumford—shah based segmentation D Cremers, T Kohlberger, C Schnörr Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 224 | 2002 |
| A multigrid platform for real-time motion computation with discontinuity-preserving variational methods A Bruhn, J Weickert, T Kohlberger, C Schnörr International Journal of Computer Vision 70, 257-277, 2006 | 223 | 2006 |
| Variational optical flow estimation for particle image velocimetry P Ruhnau, T Kohlberger, C Schnörr, H Nobach Experiments in Fluids 38, 21-32, 2005 | 216 | 2005 |
| Evaluating segmentation error without ground truth T Kohlberger, V Singh, C Alvino, C Bahlmann, L Grady International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 121 | 2012 |
| Kernel methods in bioengineering, signal and image processing G Camps-Valls, JL Rojo-Álvarez, M Martínez-Ramón Igi Global, 2007 | 121 | 2007 |
| Real-time optic flow computation with variational methods A Bruhn, J Weickert, C Feddern, T Kohlberger, C Schnörr Computer Analysis of Images and Patterns: 10th International Conference …, 2003 | 120 | 2003 |
| Whole-slide image focus quality: Automatic assessment and impact on ai cancer detection T Kohlberger, Y Liu, M Moran, PHC Chen, T Brown, JD Hipp, CH Mermel, ... Journal of pathology informatics 10 (1), 39, 2019 | 86 | 2019 |
| Automatic multi-organ segmentation using learning-based segmentation and level set optimization T Kohlberger, M Sofka, J Zhang, N Birkbeck, J Wetzl, J Kaftan, J Declerck, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 77 | 2011 |
| Multi-stage learning for robust lung segmentation in challenging CT volumes M Sofka, J Wetzl, N Birkbeck, J Zhang, T Kohlberger, J Kaftan, J Declerck, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 72 | 2011 |
| Variational dense motion estimation using the Helmholtz decomposition T Kohlberger, É Mémin, C Schnörr International conference on scale-space theories in computer vision, 432-448, 2003 | 60 | 2003 |
| 4D shape priors for a level set segmentation of the left myocardium in SPECT sequences T Kohlberger, D Cremers, M Rousson, R Ramaraj, G Funka-Lea Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006 | 56 | 2006 |
| Detecting cancer metastases on gigapixel pathology images. arXiv 2017 Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ... arXiv preprint arXiv:1703.02442, 2017 | 51 | 2017 |
| Domain decomposition for variational optical-flow computation T Kohlberger, C Schnorr, A Bruhn, J Weickert IEEE Transactions on Image Processing 14 (8), 1125-1137, 2005 | 46 | 2005 |
| Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 45 | 2023 |
| Elixr: Towards a general purpose x-ray artificial intelligence system through alignment of large language models and radiology vision encoders S Xu, L Yang, C Kelly, M Sieniek, T Kohlberger, M Ma, WH Weng, A Kiraly, ... arXiv preprint arXiv:2308.01317, 2023 | 44 | 2023 |
