Tim Lenz

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A deep learning framework for efficient pathology image analysis.
CoRR
Peter Neidlinger, Tim Lenz, Sebastian Foersch, Chiara Maria Lavinia Loeffler, Jan Clusmann, Marco Gustav, Lawrence A. Shaktah, Rupert Langer, Bastian Dislich, Lisa A. Boardman, Amy J. French, Ellen L. Goode, Andrea Gsur, Stefanie Brezina, Marc J. Gunter, Robert Steinfelder, Hans-Michael Behrens, Christoph Röcken, Tabitha Harrison, Ulrike Peters, Amanda I. Phipps, Giuseppe Curigliano, Nicola Fusco, Antonio Marra, Michael Hoffmeister, Hermann Brenner, Jakob Nikolas Kather
2025 — conf
Abnormality-Driven Representation Learning for Radiology Imaging.
MICCAI (4)
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
2025 J jnl
Three-dimensional end-to-end deep learning for brain MRI analysis.
CoRR
Radhika Juglan, Marta Ligero, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tim Lenz, Leo Misera, Gregory Patrick Veldhuizen, Paul Kuntke, Hagen H. Kitzler, Sven Nebelung, Daniel Truhn, Jakob Nikolas Kather
2025 A* conf
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.
CVPR
Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather
2024 J jnl
Abnormality-Driven Representation Learning for Radiology Imaging.
CoRR
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Arena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation.
CoRR
Volodymyr Shcherbyna, Linh Kästner, Diego Diaz, Huu Giang Nguyen, Maximilian Ho-Kyoung Schreff, Tim Lenz, Jonas Kreutz, Ahmed Martban, Huajian Zeng, Harold Soh
2024 J jnl
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology.
CoRR
Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans-Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather
2024 — conf
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology.
MICCAI (4)
Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology.
CoRR
Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology.
CoRR
Tim Lenz, Omar S. M. El Nahhas, Marta Ligero, Jakob Nikolas Kather
2024 J jnl
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.
CoRR
Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather
2023 J jnl
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology.
CoRR
Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Jane Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
2022 J jnl
Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility.
Entropy
Konstantin Beyer, Kimmo Luoma, Tim Lenz, Walter T. Strunz