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2020 – today
- 2024
[i5]Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024)- 2023
- [i4]Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren:
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR abs/2308.01317 (2023)
2010 – 2019
- 2019
- [i3]Timo Kohlberger, Yun Liu
, Melissa Moran, Po-Hsuan Cameron Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe:
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. CoRR abs/1901.04619 (2019) - 2018
- [i2]Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Gregory S. Corrado, Jason D. Hipp, Martin C. Stumpe:
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. CoRR abs/1812.00825 (2018) - 2017
- [i1]Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Gregory S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe:
Detecting Cancer Metastases on Gigapixel Pathology Images. CoRR abs/1703.02442 (2017) - 2014
- [c21]Neil Birkbeck, Timo Kohlberger, Jingdan Zhang, Michal Sofka, Jens N. Kaftan, Dorin Comaniciu, Shaohua Kevin Zhou:
Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. MICCAI (1) 2014: 804-811 - 2012
- [c20]Leo J. Grady, Vivek Kumar Singh, Timo Kohlberger, Christopher V. Alvino, Claus Bahlmann:
Automatic Segmentation of Unknown Objects, with Application to Baggage Security. ECCV (2) 2012: 430-444 - [c19]Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou:
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. MICCAI (2) 2012: 462-469 - [c18]Timo Kohlberger, Vivek Kumar Singh, Christopher V. Alvino, Claus Bahlmann, Leo J. Grady:
Evaluating Segmentation Error without Ground Truth. MICCAI (1) 2012: 528-536 - [c17]Wei Li, Gianluca Paladini, Leo J. Grady, Timo Kohlberger, Vivek Kumar Singh, Claus Bahlmann:
Luggage visualization and virtual unpacking. WASA 2012: 161-168 - 2011
- [c16]Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. MICCAI (3) 2011: 338-345 - [c15]Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. MICCAI (3) 2011: 667-674 - [c14]Siqi Chen, Timo Kohlberger, Klaus J. Kirchberg:
Advanced level set segmentation of the right atrium in MR. Medical Imaging: Image-Guided Procedures 2011: 796431
2000 – 2009
- 2009
- [c13]Timo Kohlberger, M. Gökhan Uzunbas, Christopher V. Alvino, Timor Kadir, Daniel O. Slosman, Gareth Funka-Lea:
Organ Segmentation with Level Sets Using Local Shape and Appearance Priors. MICCAI (1) 2009: 34-42 - 2007
- [b1]Timo Kohlberger:
Variational domain decomposition for parallel image processing. University of Mannheim, Germany, 2007, pp. 1-182 - [c12]Timo Kohlberger, Gareth Funka-Lea, Vladimir Desh:
Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT. MICCAI (1) 2007: 327-334 - 2006
- [j5]Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr:
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int. J. Comput. Vis. 70(3): 257-277 (2006) - [c11]Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea:
4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. MICCAI (1) 2006: 92-100 - 2005
- [j4]Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr:
Variational optical flow computation in real time. IEEE Trans. Image Process. 14(5): 608-615 (2005) - [j3]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Domain decomposition for variational optical-flow computation. IEEE Trans. Image Process. 14(8): 1125-1137 (2005) - [c10]Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr:
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005: 279-290 - 2004
- [j2]Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr:
High performance cluster computing with 3-D nonlinear diffusion filters. Real Time Imaging 10(1): 41-51 (2004) - [c9]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) 2004: 205-216 - [c8]Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau:
Convex Set-Based Estimation of Image Flows. ICPR (1) 2004: 124-127 - 2003
- [j1]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Shape statistics in kernel space for variational image segmentation. Pattern Recognit. 36(9): 1929-1943 (2003) - [c7]Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr:
Real-Time Optic Flow Computation with Variational Methods. CAIP 2003: 222-229 - [c6]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium 2003: 196-203 - [c5]Timo Kohlberger, Christoph Schnörr, Étienne Mémin:
Variational dense motion estimation using a div-curl high-order regularization. ISSPA (1) 2003: 641-644 - [c4]Timo Kohlberger, Étienne Mémin, Christoph Schnörr:
Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448 - 2002
- [c3]Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr:
Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing. DAGM-Symposium 2002: 290-297 - [c2]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) 2002: 93-108 - 2001
- [c1]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276
Coauthor Index
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