Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions. - Jana Lipková; Konstantinos C. Zygalakis; S. Jonathan Chapman; Radek Erban (SIAM J. Appl. Math., 2011)

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. - Lina Xu; Giles Tetteh; Mona Mustafa; Jana Lipková; Yu Zhao 009; Marie Bieth; Patrick Ferdinand Christ; Marie Piraud; Bjoern H. Menze; Kuangyu Shi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. - Patrick Ferdinand Christ; Florian Ettlinger; Felix Grün; Mohamed Ezzeldin A. Elshaer; Jana Lipková; Sebastian Schlecht; Freba Ahmaddy; Sunil Tatavarty; Marc Bickel; Patrick Bilic; Markus Rempfler; Felix Hofmann; et al. (CoRR, 2017)

Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation. - Jana Lipková; Markus Rempfler; Patrick Ferdinand Christ; John S. Lowengrub; Bjoern H. Menze (CoRR, 2017)

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Neural Parameters Estimation for Brain Tumor Growth Modeling. - Ivan Ezhov; Jana Lipková; Suprosanna Shit; Florian Kofler; Nora Collomb; Benjamin Lemasson; Emmanuel Luc Barbier; Bjoern H. Menze (MICCAI (2), 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee. - Suprosanna Shit; Abinav Ravi Venkatakrishnan; Ivan Ezhov; Jana Lipková; Marie Piraud; Bjoern H. Menze (CoRR, 2019)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (IEEE Trans. Medical Imaging, 2019)

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. - Ahmad Bin Qasim; Ivan Ezhov; Suprosanna Shit; Oliver Schoppe; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jana Lipková; Hongwei Li 004; Bjoern H. Menze (MIDL, 2020)

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. - Ming Y. Lu; Melissa Zhao; Maha Shady; Jana Lipková; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (CoRR, 2020)

Real-time Bayesian personalization via a learnable brain tumor growth model. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Fernando Navarro; Marie Metz; Benedikt Wiestler; Björn H. Menze (CoRR, 2020)

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. - Richard J. Chen; Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Jana Lipková; Muhammad Shaban; Maha Shady; Mane Williams; Bumjin Joo; Zahra Noor; Faisal Mahmood 001 (CoRR, 2021)

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. - Suprosanna Shit; Ivan Ezhov; Leon Mächler; Abinav R.; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Marie Piraud; Bjoern H. Menze (CoRR, 2021)

Algorithm Fairness in AI for Medicine and Healthcare. - Richard J. Chen; Tiffany Y. Chen; Jana Lipková; Judy J. Wang; Drew F. K. Williamson; Ming Y. Lu; Sharifa Sahai; Faisal Mahmood 001 (CoRR, 2021)

AI-based pathology predicts origins for cancers of unknown primary. - Ming Y. Lu; Tiffany Y. Chen; Drew F. K. Williamson; Melissa Zhao; Maha Shady; Jana Lipková; Faisal Mahmood 001 (Nat., 2021)

Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. - Luoting Zhuang; Jana Lipková; Richard Chen 001; Faisal Mahmood 001 (Digital and Computational Pathology, 2022)

Federated learning for computational pathology on gigapixel whole slide images. - Ming Y. Lu; Richard J. Chen; Dehan Kong; Jana Lipková; Rajendra Singh; Drew F. K. Williamson; Tiffany Y. Chen; Faisal Mahmood 001 (Medical Image Anal., 2022)

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Chantal Pellegrini; Marcel Kollovieh; Fernando Navarro; Hongwei Li 004; Marie Metz; Benedikt Wiestler; et al. (IEEE Trans. Medical Imaging, 2022)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. - Ivan Ezhov; Kevin Scibilia; Katharina Franitza; Felix Steinbauer; Suprosanna Shit; Lucas Zimmer; Jana Lipková; Florian Kofler; Johannes C. Paetzold; Luca Canalini; Diana Waldmannstetter; Martin J. Menten; et al. (Medical Image Anal., 2023)

A Learnable Prior Improves Inverse Tumor Growth Modeling. - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (IEEE Trans. Medical Imaging, 2025)