Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach. - Martin W. Krueger; Viktor Schmidt; Catalina Tobón; Frank M. Weber; Cristian Lorenz; David U. J. Keller; Hans Barschdorf; Michael Burdumy; Peter Neher; Gernot Plank; Kawal S. Rhode; Gunnar Seemann; et al. (FIMH, 2011)

Automatic Segmentation of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures. - Peter Neher; Hans Barschdorf; Sebastian P. M. Dries; Frank M. Weber; Martin W. Krueger; Olaf Dössel; Cristian Lorenz (FIMH, 2011)

Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit. - Peter F. Neher; Bram Stieltjes; Marco Reisert; Ignaz Reicht; Hans-Peter Meinzer; Klaus H. Fritzsche (Bildverarbeitung für die Medizin, 2012)

MITK global tractography. - Peter F. Neher; Bram Stieltjes; Marco Reisert; Ignaz Reicht; Hans-Peter Meinzer; Klaus H. Fritzsche (Image Processing, 2012)

Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. - Peter F. Neher; Frederik B. Laun; Bram Stieltjes; Klaus H. Maier-Hein (CDMRI/MMBC@MICCAI, 2013)

Model-Based Super-Resolution of Diffusion MRI. - Alexandra Tobisch; Peter F. Neher; Matthew C. Rowe; Klaus H. Maier-Hein; Hui Zhang 005 (CDMRI/MMBC@MICCAI, 2013)

Evaluation of neuronal fiber tractography. - Peter F. Neher (2013)

Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. - Jan Hering; Peter F. Neher; Hans-Peter Meinzer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2014)

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. - Peter F. Neher; Michael Götz; Tobias Norajitra; Christian Weber 001; Klaus H. Maier-Hein (MICCAI (1), 2015)

Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer. - Peter F. Neher; Maxime Descoteaux; Jean-Christophe Houde; Bram Stieltjes; Klaus H. Maier-Hein (Medical Image Anal., 2015)

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. - Vincent Christlein; Florin C. Ghesu; Tobias Würfl; Andreas K. Maier; Fabian Isensee; Peter Neher; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Learn to Track: Deep Learning for Tractography. - Philippe Poulin; Marc-Alexandre Côté; Jean-Christophe Houde; Laurent Petit; Peter F. Neher; Klaus H. Maier-Hein; Hugo Larochelle; Maxime Descoteaux (MICCAI (1), 2017)

Direct White Matter Bundle Segmentation using Stacked U-Nets. - Jakob Wasserthal; Peter F. Neher; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2017)

Fiber tractography using machine learning. - Peter F. Neher; Marc-Alexandre Côté; Jean-Christophe Houde; Maxime Descoteaux; Klaus H. Maier-Hein (NeuroImage, 2017)

Tractography Challenge ISMRM 2015 b=3000s/mm² Data. - Peter F. Neher; Jean-Christophe Houde; Maxime Descoteaux; Klaus H. Maier-Hein (Zenodo, 2017)

Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. - Peter F. Neher; Bram Stieltjes; Klaus H. Maier-Hein (MICCAI (3), 2018)

Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (MICCAI (3), 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

TractSeg - Fast and accurate white matter tract segmentation. - Jakob Wasserthal; Peter Neher; Klaus H. Maier-Hein (NeuroImage, 2018)

Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives. - Peter F. Neher; Bram Stieltjes; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Combined tract segmentation and orientation mapping for bundle-specific tractography. - Jakob Wasserthal; Peter F. Neher; Dusan Hirjak; Klaus H. Maier-Hein (Medical Image Anal., 2019)

Limits to anatomical accuracy of diffusion tractography using modern approaches. - Kurt G. Schilling; Vishwesh Nath; Colin B. Hansen; Prasanna Parvathaneni; Justin A. Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; et al. (NeuroImage, 2019)

Simulated dMRI images and ground truth of random fiber phantoms in various configurations. - Peter F. Neher; Klaus H. Maier-Hein (Zenodo, 2019)

Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. - Jonas Scherer; Marco Nolden; Jens Kleesiek; Jasmin Metzger; Klaus Kades; Verena Schneider; Hanno Gao; Peter Neher; Ralf Floca; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2021)

Physical and digital phantoms for validating tractography and assessing artifacts. - Ivana Drobnjak; Peter Neher; Cyril Poupon; Tabinda Sarwar (NeuroImage, 2021)

Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. - Maximilian Fischer; Peter Neher; Michael Götz; Shuhan Xiao; Silvia Dias Almeida; Peter J. Schüffler; Alexander Muckenhuber; Rickmer Braren; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MOVI@MICCAI, 2022)

Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. - Maximilian Fischer; Peter Neher; Michael Götz; Shuhan Xiao; Silvia Dias Almeida; Peter J. Schüffler; Alexander Muckenhuber; Rickmer Braren; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2023)

atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. - Robin Peretzke; Klaus H. Maier-Hein; Jonas Bohn; Yannick Kirchhoff; Saikat Roy; Sabrina Oberli-Palma; Daniela Becker; Pavlina Lenga; Peter Neher (MICCAI (8), 2023)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Constantin Ulrich; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MLMI@MICCAI (2), 2023)

Abstract: Object Detection for Breast Diffusion-weighted Imaging. - Dimitrios Bounias; Michael Baumgartner 001; Peter Neher; Balint Kovacs; Ralf Floca; Paul F. Jaeger; Lorenz A. Kapsner; Jessica Eberle; Dominique Hadler; Frederik B. Laun; Sabine Ohlmeyer; Klaus H. Maier-Hein; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Constantin Ulrich; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. - Robin Peretzke; Klaus H. Maier-Hein; Jonas Bohn; Yannick Kirchhoff; Saikat Roy; Sabrina Oberli-Palma; Daniela Becker; Pavlina Lenga; Peter Neher (Bildverarbeitung für die Medizin, 2024)

Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. - Maximilian Fischer; Peter Neher; Tassilo Wald; Silvia Dias Almeida; Shuhan Xiao; Peter J. Schüffler; Rickmer Braren; Michael Götz; Alexander Muckenhuber; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MOVI@MICCAI, 2024)

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification. - Jessica Kächele; Robin Peretzke; Alexandra Ertl; Maximilian Fischer; Marlin Hanstein; Florian M. Hauptmann; Dimitrios Bounias; Marco Nolden; Peter Neher; Klaus H. Maier-Hein (DIAMOND/MARIO@MICCAI, 2024)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Sebastian Ziegler; Shuhan Xiao; Robin Peretzke; David A. Clunie; Constantin Ulrich; Michael Baumgartner 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 2024)

Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain. - Markus Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Klaus H. Maier-Hein; Andreas Bucher; Rickmer Braren (Bildverarbeitung für die Medizin, 2025)

Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes. - Maximilian Fischer; Florian M. Hauptmann; Robin Peretzke; Paul Naser; Peter Neher; Jan-Oliver Neumann; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. - Maximilian Fischer; Peter Neher; Tassilo Wald; Constantin Ulrich; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; et al. (Bildverarbeitung für die Medizin, 2025)

Real-world federated learning in radiology: hurdles to overcome and benefits to gain. - Markus R. Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Eric Frodl; Astha Jaiswal; Moon S. Kim 002; Nicolai R. Krekiehn; Manuel Nickel; Richard Ruppel; Marcus Both; et al. (J. Am. Medical Informatics Assoc., 2025)

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection. - Alexandra Ertl; Shuhan Xiao; Stefan Denner; Robin Peretzke; David Zimmerer; Peter Neher; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2025)