Peter Neher

36 papers Journal 16Unranked 20
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Automated Detection of Focal Bone Marrow Lesions from MRI - A Multi-center Feasibility Study in Patients with Monoclonal Plasma Cell Disorders.
Bildverarbeitung für die Medizin
Jessica Kächele, Markus Wennmann, Arvin von Salomon, Peter Neher, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2026 — conf
Abstract: Unlocking the Potential of Digital Pathology - Novel Baselines for Compression.
Bildverarbeitung für die Medizin
Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein
2026 — conf
Bridging Radiology and Pathology - A DICOM-based Framework for Multimodal Mapping and Integrated Visualization.
Bildverarbeitung für die Medizin
Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher, Marco Nolden, Klaus H. Maier-Hein, Christoph Wies, Maximilian Fischer
2026 J jnl
Bridging Radiology and Pathology: A DICOM-Based Framework for Multimodal Mapping and Integrated Visualization.
CoRR
Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher, Marco Nolden, Klaus H. Maier-Hein, Maximilian Fischer, Christoph Wies
2026 — conf
Multimodal Classification of Radiation-induced Contrast Enhancement and Tumor Recurrence using Deep Learning.
Bildverarbeitung für die Medizin
Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein
2026 J jnl
Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning.
CoRR
Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein
2025 — conf
Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.
Bildverarbeitung für die Medizin
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, Klaus H. Maier-Hein
2025 — conf
Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain.
Bildverarbeitung für die Medizin
Markus Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren
2025 J jnl
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload.
J. Am. Medical Informatics Assoc.
Dimitrios Bounias, Lina Simons, Michael Baumgartner, Chris Ehring, Peter Neher, Lorenz A. Kapsner, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Lena Maier-Hein, Michael Uder, Evelyn Wenkel, Klaus H. Maier-Hein, Sebastian Bickelhaupt
2025 J jnl
Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments.
CoRR
Ünal Akünal, Markus Bujotzek, Stefan Denner, Benjamin Hamm, Klaus Kades, Philipp Schader, Jonas Scherer, Marco Nolden, Peter Neher, Ralf Floca, Klaus H. Maier-Hein
2025 — conf
Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes.
Bildverarbeitung für die Medizin
Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein
2025 J jnl
Real-world federated learning in radiology: hurdles to overcome and benefits to gain.
J. Am. Medical Informatics Assoc.
Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren
2025 J jnl
Risk-adjusted training and evaluation for breast cancer detection.
Comput. Biol. Medicine
Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Paul F. Jaeger, Michael Uder, Klaus H. Maier-Hein, Sebastian Bickelhaupt
2025 J jnl
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection.
CoRR
Alexandra Ertl, Shuhan Xiao, Stefan Denner, Robin Peretzke, David Zimmerer, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein
2024 — conf
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Bildverarbeitung für die Medizin
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
2024 — conf
Abstract: Object Detection for Breast Diffusion-weighted Imaging.
Bildverarbeitung für die Medizin
Dimitrios Bounias, Michael Baumgartner, 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, Sebastian Bickelhaupt
2024 — conf
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.
Bildverarbeitung für die Medizin
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2024 — conf
Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification.
DIAMOND/MARIO@MICCAI
Jessica Kächele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein
2024 — conf
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution.
MOVI@MICCAI
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
2024 J jnl
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.
CoRR
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
2024 J jnl
Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes.
CoRR
Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein
2024 J jnl
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain.
CoRR
Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Rickmer Braren, Andreas Bucher
2024 J jnl
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression.
CoRR
Maximilian Fischer, Peter Neher, Peter J. Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein
2023 — conf
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.
Bildverarbeitung für die Medizin
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
2023 — conf
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
MLMI@MICCAI (2)
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
2023 — conf
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning.
MICCAI (8)
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2023 J jnl
atTRACTive: Semi-automatic white matter tract segmentation using active learning.
CoRR
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2022 — conf
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.
MOVI@MICCAI
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
2021 — conf
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics.
Bildverarbeitung für die Medizin
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
2021 J jnl
Physical and digital phantoms for validating tractography and assessing artifacts.
NeuroImage
Ivana Drobnjak, Peter Neher, Cyril Poupon, Tabinda Sarwar
2019 J jnl
Limits to anatomical accuracy of diffusion tractography using modern approaches.
NeuroImage
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, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, David Romascano, Gaëtan Rensonnet, Marco Pizzolato, Bennett A. Landman
2018 J jnl
TractSeg - Fast and accurate white matter tract segmentation.
CoRR
Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
2018 J jnl
TractSeg - Fast and accurate white matter tract segmentation.
NeuroImage
Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
2017 — conf
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.
Bildverarbeitung für die Medizin
Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein
2011 — conf
Automatic Segmentation of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures.
FIMH
Peter Neher, Hans Barschdorf, Sebastian P. M. Dries, Frank M. Weber, Martin W. Krueger, Olaf Dössel, Cristian Lorenz
2011 — conf
Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach.
FIMH
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, Damian Sánchez-Quintana, Javier Saiz, Reza Razavi, Olaf Dössel