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ORCIDPeter Neher
Person information
- affiliation: German Cancer Research Center (DKFZ), Heidelberg, Germany
- affiliation (PhD 2013): University Hospital Heidelberg, Germany
- affiliation (former): Philips Research, Hamburg, Germany
- affiliation (former): Karlsruhe Institute of Technology (KIT), Institute of Biomedical Engineering, Karlsruhe, Germany
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2020 – today
- 2024
[c22]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:
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin 2024: 158- [c21]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:
Abstract: Object Detection for Breast Diffusion-weighted Imaging. Bildverarbeitung für die Medizin 2024: 334 - [c20]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. Bildverarbeitung für die Medizin 2024: 335 - [i8]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:
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain. CoRR abs/2405.09409 (2024) - [i7]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:
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR abs/2406.12623 (2024) - 2023
- [c19]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:
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin 2023: 245 - [c18]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. MICCAI (8) 2023: 237-246 - [c17]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:
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) 2023: 427-436 - [i6]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic white matter tract segmentation using active learning. CoRR abs/2305.18905 (2023) - 2022
- [c16]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:
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI 2022: 73-83 - 2021
- [j6]Ivana Drobnjak, Peter Neher, Cyril Poupon, Tabinda Sarwar:
Physical and digital phantoms for validating tractography and assessing artifacts. NeuroImage 245: 118704 (2021) - [c15]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:
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. Bildverarbeitung für die Medizin 2021: 127
2010 – 2019
- 2019
- [j5]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Anal. 58 (2019) - [j4]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:
Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage 185: 1-11 (2019) - [c14]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives. Bildverarbeitung für die Medizin 2019: 1 - [c13]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. Bildverarbeitung für die Medizin 2019: 30 - [d2]Peter F. Neher, Klaus H. Maier-Hein:
Simulated dMRI images and ground truth of random fiber phantoms in various configurations. Zenodo, 2019
- [i5]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. CoRR abs/1901.10271 (2019) - 2018
- [j3]Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. NeuroImage 183: 239-253 (2018) - [c12]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. MICCAI (3) 2018: 20-27 - [c11]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract Orientation Mapping for Bundle-Specific Tractography. MICCAI (3) 2018: 36-44 - [i4]Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. CoRR abs/1805.07103 (2018) - [i3]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i2]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract orientation mapping for bundle-specific tractography. CoRR abs/1806.05580 (2018) - 2017
- [j2]Peter F. Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein:
Fiber tractography using machine learning. NeuroImage 158: 417-429 (2017) - [c10]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein:
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin 2017: 6-7 - [c9]Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux:
Learn to Track: Deep Learning for Tractography. MICCAI (1) 2017: 540-547 - [d1]Peter F. Neher, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein:
Tractography Challenge ISMRM 2015 b=3000s/mm² Data. Zenodo, 2017 - [i1]Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein:
Direct White Matter Bundle Segmentation using Stacked U-Nets. CoRR abs/1703.02036 (2017) - 2015
- [j1]Peter F. Neher, Maxime Descoteaux, Jean-Christophe Houde, Bram Stieltjes, Klaus H. Maier-Hein:
Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer. Medical Image Anal. 26(1): 287-305 (2015) - [c8]Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein:
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) 2015: 45-52 - 2014
- [c7]Jan Hering, Peter F. Neher, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. Bildverarbeitung für die Medizin 2014: 342-347 - 2013
- [b1]Peter F. Neher:
Evaluation of neuronal fiber tractography. Heidelberg University, 2013, pp. 1-217 - [c6]Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang:
Model-Based Super-Resolution of Diffusion MRI. CDMRI/MMBC@MICCAI 2013: 25-34 - [c5]Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein:
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. CDMRI/MMBC@MICCAI 2013: 105-113 - 2012
- [c4]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit. Bildverarbeitung für die Medizin 2012: 177-182 - [c3]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
MITK global tractography. Image Processing 2012: 83144D - 2011
- [c2]Peter Neher, Hans Barschdorf, Sebastian P. M. Dries, Frank M. Weber, Martin W. Krueger, Olaf Dössel, Cristian Lorenz:
Automatic Segmentation of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures. FIMH 2011: 80-87 - [c1]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:
Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach. FIMH 2011: 223-232
Coauthor Index
aka: Klaus H. Fritzsche
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