Nonlinear Shape Statistics via Kernel Spaces. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (DAGM-Symposium, 2001)

Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing. - Andrés Bruhn; Tobias Jakob; Markus Fischer 001; Timo Kohlberger; Joachim Weickert; Ulrich Brüning 001; Christoph Schnörr (DAGM-Symposium, 2002)

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (ECCV (2), 2002)

Real-Time Optic Flow Computation with Variational Methods. - Andrés Bruhn; Joachim Weickert; Christian Feddern; Timo Kohlberger; Christoph Schnörr (CAIP, 2003)

Domain Decomposition for Parallel Variational Optical Flow Computation. - Timo Kohlberger; Christoph Schnörr; Andrés Bruhn; Joachim Weickert (DAGM-Symposium, 2003)

Variational dense motion estimation using a div-curl high-order regularization. - Timo Kohlberger; Christoph Schnörr; Étienne Mémin (ISSPA (1), 2003)

Variational Dense Motion Estimation Using the Helmholtz Decomposition. - Timo Kohlberger; Étienne Mémin; Christoph Schnörr (Scale-Space, 2003)

Shape statistics in kernel space for variational image segmentation. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (Pattern Recognit., 2003)

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. - Timo Kohlberger; Christoph Schnörr; Andrés Bruhn; Joachim Weickert (ECCV (4), 2004)

Convex Set-Based Estimation of Image Flows. - Jing Yuan 005; Christoph Schnörr; Timo Kohlberger; Paul Ruhnau (ICPR (1), 2004)

High performance cluster computing with 3-D nonlinear diffusion filters. - Andrés Bruhn; Tobias Jakob; Markus Fischer 001; Timo Kohlberger; Joachim Weickert; Ulrich Brüning 001; Christoph Schnörr (Real Time Imaging, 2004)

Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. - Andrés Bruhn; Joachim Weickert; Timo Kohlberger; Christoph Schnörr (Scale-Space, 2005)

Variational optical flow computation in real time. - Andrés Bruhn; Joachim Weickert; Christian Feddern; Timo Kohlberger; Christoph Schnörr (IEEE Trans. Image Process., 2005)

Domain decomposition for variational optical-flow computation. - Timo Kohlberger; Christoph Schnörr; Andrés Bruhn; Joachim Weickert (IEEE Trans. Image Process., 2005)

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 (MICCAI (1), 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)

Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT. - Timo Kohlberger; Gareth Funka-Lea; Vladimir Desh (MICCAI (1), 2007)

Variational domain decomposition for parallel image processing. - Timo Kohlberger (2007)

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 (MICCAI (1), 2009)

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 (MICCAI (3), 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 (MICCAI (3), 2011)

Advanced level set segmentation of the right atrium in MR. - Siqi Chen; Timo Kohlberger; Klaus J. Kirchberg (Image-Guided Procedures, 2011)

Automatic Segmentation of Unknown Objects, with Application to Baggage Security. - Leo J. Grady; Vivek Kumar Singh; Timo Kohlberger; Christopher V. Alvino; Claus Bahlmann (ECCV (2), 2012)

Evaluating Segmentation Error without Ground Truth. - Timo Kohlberger; Vivek Kumar Singh; Christopher V. Alvino; Claus Bahlmann; Leo J. Grady (MICCAI (1), 2012)

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. - Chao Lu 011; Yefeng Zheng 001; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Christian Tietjen; Thomas Boettger; James S. Duncan; Shaohua Kevin Zhou (MICCAI (2), 2012)

Luggage visualization and virtual unpacking. - Wei Li; Gianluca Paladini; Leo J. Grady; Timo Kohlberger; Vivek Kumar Singh; Claus Bahlmann (WASA, 2012)

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 (MICCAI (1), 2014)

Detecting Cancer Metastases on Gigapixel Pathology Images. - Yun Liu 013; Krishna Gadepalli; Mohammad Norouzi 002; George E. Dahl; Timo Kohlberger; Aleksey Boyko; Subhashini Venugopalan; Aleksei Timofeev; Philip Q. Nelson; Gregory S. Corrado; Jason D. Hipp; Lily Peng; et al. (CoRR, 2017)

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Po-Hsuan Cameron Chen; Krishna Gadepalli; Robert MacDonald; Yun Liu 013; Kunal Nagpal; Timo Kohlberger; Jeffrey Dean; Gregory S. Corrado; Jason D. Hipp; Martin C. Stumpe (CoRR, 2018)

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. - Timo Kohlberger; Yun Liu 013; Melissa Moran; Po-Hsuan Cameron Chen; Trissia Brown; Craig H. Mermel; Jason D. Hipp; Martin C. Stumpe (CoRR, 2019)

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; et al. (CoRR, 2023)

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; et al. (CoRR, 2024)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)