Timo Kohlberger

According to our database, Timo Kohlberger authored at least 32 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Advancing Multimodal Medical Capabilities of Gemini.

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

CoRR, 2024

2023

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

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

CoRR, 2023

2019

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection.

Timo Kohlberger, Yun Liu, Melissa Moran, Po-Hsuan Cameron Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe

CoRR, 2019

2018

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration.

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

CoRR, 2018

2017

Detecting Cancer Metastases on Gigapixel Pathology Images.

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

CoRR, 2017

2014

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints.

Neil Birkbeck, Timo Kohlberger, Jingdan Zhang, Michal Sofka, Jens N. Kaftan, Dorin Comaniciu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2012

Luggage visualization and virtual unpacking.

Wei Li, Gianluca Paladini, Leo J. Grady, Timo Kohlberger, Vivek Kumar Singh, Claus Bahlmann

Proceedings of the Workshop at SIGGRAPH Asia, 2012

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory.

Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Evaluating Segmentation Error without Ground Truth.

Timo Kohlberger, Vivek Kumar Singh, Christopher V. Alvino, Claus Bahlmann, Leo J. Grady

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic Segmentation of Unknown Objects, with Application to Baggage Security.

Leo J. Grady, Vivek Kumar Singh, Timo Kohlberger, Christopher V. Alvino, Claus Bahlmann

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Advanced level set segmentation of the right atrium in MR.

Siqi Chen, Timo Kohlberger, Klaus J. Kirchberg

Proceedings of the Medical Imaging 2011: Visualization, 2011

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes.

Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization.

Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009

Organ Segmentation with Level Sets Using Local Shape and Appearance Priors.

Timo Kohlberger, M. Gökhan Uzunbas, Christopher V. Alvino, Timor Kadir, Daniel O. Slosman, Gareth Funka-Lea

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2007

Variational domain decomposition for parallel image processing.

Timo Kohlberger

PhD thesis, 2007

Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT.

Timo Kohlberger, Gareth Funka-Lea, Vladimir Desh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006

A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods.

Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr

Int. J. Comput. Vis., 2006

4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences.

Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005

Domain decomposition for variational optical-flow computation.

Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert

IEEE Trans. Image Process., 2005

Variational optical flow computation in real time.

Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr

IEEE Trans. Image Process., 2005

Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time.

Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

2004

High performance cluster computing with 3-D nonlinear diffusion filters.

Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr

Real Time Imaging, 2004

Convex Set-Based Estimation of Image Flows.

Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing.

Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert

Proceedings of the Computer Vision, 2004

2003

Shape statistics in kernel space for variational image segmentation.

Daniel Cremers, Timo Kohlberger, Christoph Schnörr

Pattern Recognit., 2003

Variational Dense Motion Estimation Using the Helmholtz Decomposition.

Timo Kohlberger, Étienne Mémin, Christoph Schnörr

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Variational dense motion estimation using a div-curl high-order regularization.

Timo Kohlberger, Christoph Schnörr, Étienne Mémin

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Domain Decomposition for Parallel Variational Optical Flow Computation.

Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert

Proceedings of the Pattern Recognition, 2003

Real-Time Optic Flow Computation with Variational Methods.

Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr

Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.

Daniel Cremers, Timo Kohlberger, Christoph Schnörr

Proceedings of the Computer Vision, 2002

Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing.

Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr

Proceedings of the Pattern Recognition, 2002

2001

Nonlinear Shape Statistics via Kernel Spaces.

Daniel Cremers, Timo Kohlberger, Christoph Schnörr

Proceedings of the Pattern Recognition, 2001