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ORCIDThomas Schultz 0001
Person information
- affiliation: University of Bonn, Institute of Computer Science, Germany
- affiliation: Max Planck Institute for Intelligent Systems, Tübingen, Germany
- affiliation: University of Chicago, Computer Science Department and Computation Institute, USA
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
Other persons with the same name
- Thomas Schultz 0002 — Mass General Brigham Data Science Office, Boston, MA, USA
- Thomas Schultz 0003
![[0000-0003-3731-2692]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3731-2692")
— University of Geneva, Law Faculty, Switzerland - Thomas Schultz 0004 — University of Cincinnati, CEAS-EECS, OH, USA
Other persons with a similar name
- Thomas A. Schultz — Lucent Technologies, Naperville, IL, USA
- Thomas J. Schultz — Massachusetts General Hospital, Department of Radiology, Boston, MA, USA
- Thomas W. Schultz — Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
[j31]Renata G. Raidou, Bjorn Sommer, Torsten W. Kuhlen, Michael Krone, Thomas Schultz, Hsiang-Yun Wu:
Foreword special section on VSI: C&G VCBM 2022. Comput. Graph. 119: 103916 (2024)- [c38]Jonathan Lennartz, Golo Pohl, Thomas Schultz:
Active Learning for Scribble-Based Diffusion MRI Segmentation. UNSURE@MICCAI 2024: 14-22 - 2023
- [j30]Johannes Gruen, Gemma van der Voort, Thomas Schultz:
Model Averaging and Bootstrap Consensus-based Uncertainty Reduction in Diffusion MRI Tractography. Comput. Graph. Forum 42(1): 217-230 (2023) - [j29]Ikram Jumakulyyev, Thomas Schultz:
Combining Image Space and q-Space PDEs for Lossless Compression of Diffusion MR Images. J. Math. Imaging Vis. 65(4): 644-656 (2023) - [j28]Johannes Gruen, Samuel Groeschel, Thomas Schultz:
Spatially regularized low-rank tensor approximation for accurate and fast tractography. NeuroImage 271: 120004 (2023) - [c37]Johannes Gruen, Jonah Sieg, Thomas Schultz:
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography. CDMRI@MICCAI 2023: 140-151 - [c36]Jonathan Lennartz, Thomas Schultz:
Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations. MICCAI (3) 2023: 316-325 - [c35]Marlo Bareth, Samuel Groeschel, Johannes Gruen, Pablo Pretzel, Thomas Schultz:
Detection and Visual Analysis of Pathological Abnormalities in Diffusion Tensor Imaging with an Anomaly Lens. EuroVis (Short Papers) 2023: 43-47 - 2022
- [j27]Kay Nieselt, Steffen Oeltze-Jafra, Thomas Schultz, Noeska N. Smit, Björn Sommer:
Foreword. Comput. Graph. 108: 4- (2022) - [j26]Mohammad Khatami, Regina Wehler, Thomas Schultz:
Parcellation-Free prediction of task fMRI activations from dMRI tractography. Medical Image Anal. 76: 102317 (2022) - [c34]Rasha Sheikh, Morris Klasen, Thomas Schultz:
Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net Based Medical Image Segmentation. DART@MICCAI 2022: 119-128 - [c33]Rasha Sheikh, Thomas Schultz:
Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features. MIDL 2022: 1096-1107 - [e6]Renata G. Raidou, Björn Sommer, Torsten W. Kuhlen, Michael Krone, Thomas Schultz, Hsiang-Yun Wu:
VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine, Vienna, Austria, September 22 - 23, 2022. Eurographics Association 2022 [contents] - 2021
- [c32]Sobhan Moazemi, Markus Essler, Thomas Schultz, Ralph A. Bundschuh:
Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support. ML-CDS@MICCAI 2021: 22-35 - [c31]Ikram Jumakulyyev, Thomas Schultz:
Lossless PDE-based Compression of 3D Medical Images. SSVM 2021: 450-462 - [c30]Johannes Gruen, Gemma van der Voort, Thomas Schultz:
Reducing Model Uncertainty in Crossing Fiber Tractography. VCBM 2021: 55-64 - [e5]Steffen Oeltze-Jafra, Noeska N. Smit, Björn Sommer, Kay Nieselt, Thomas Schultz:
VCBM 2021: 11th Eurographics Workshop on Visual Computing for Biology and Medicine, Paris, France, 22-24 September 2021. Eurographics Association 2021 [contents] - 2020
- [j25]Christian Winkler, Katharina Linden, Andreas Mayr, Thomas Schultz, Thomas Welchowski, Johannes Breuer, Ulrike Herberg:
RefCurv: A software for the construction of pediatric reference curves. Softw. Impacts 6: 100040 (2020) - [c29]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz:
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c28]Simon Mueller, Snezhana Karpova, Maximilian W. M. Wintergerst, Kaushik Murali, Mahesh P. Shanmugam, Robert Patrick Finger, Thomas Schultz:
Automated Detection of Diabetic Retinopathy from Smartphone Fundus Videos. OMIA@MICCAI 2020: 83-92 - [c27]Rasha Sheikh, Thomas Schultz:
Feature Preserving Smoothing Provides Simple and Effective Data Augmentation for Medical Image Segmentation. MICCAI (1) 2020: 116-126 - [c26]Agajan Torayev, Thomas Schultz:
Interactive Classification of Multi-Shell Diffusion MRI With Features From a Dual-Branch CNN Autoencoder. VCBM 2020: 1-11 - [i7]Ikram Jumakulyyev, Thomas Schultz:
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression. CoRR abs/2006.10406 (2020)
2010 – 2019
- 2019
- [j24]Thomas Schultz, Anna Puig, Bernhard Kainz:
Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. Comput. Graph. 83: 5- (2019) - [j23]Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Thomas Schultz:
Intelligent interaction and uncertainty visualization for efficient drusen and retinal layer segmentation in Optical Coherence Tomography. Comput. Graph. 83: 51-61 (2019) - [j22]Michael Ankele, Thomas Schultz:
DT-MRI Streamsurfaces Revisited. IEEE Trans. Vis. Comput. Graph. 25(1): 1112-1121 (2019) - [c25]Mohammad Khatami, Regina Wehler, Thomas Schultz:
Cobundlemap: Consistent 2D Parameterization of Fiber Bundles Across Subjects and Hemispheres. ISBI 2019: 1475-1478 - [c24]Amin Abbasloo, Vitalis Wiens, Tobias Schmidt-Wilcke, Pia C. Sundgren, Reinhard Klein, Thomas Schultz:
Interactive Formation of Statistical Hypotheses in Diffusion Tensor Imaging. VCBM 2019: 33-43 - [c23]Mohammad Khatami, Thomas Schultz:
Open-Box Training of Kernel Support Vector Machines: Opportunities and Limitations. VMV 2019: 63-72 - 2018
- [j21]Remco Duits, Giovanna Citti, Andrea Fuster, Thomas Schultz:
Differential Geometry and Orientation Analysis in Image Processing. J. Math. Imaging Vis. 60(6): 763-765 (2018) - [c22]Kanil Patel, Samuel Groeschel, Thomas Schultz:
Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization. MICCAI (3) 2018: 55-62 - [c21]Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Thomas Schultz:
Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography. VCBM@MICCAI 2018: 107-115 - [e4]Anna Puig, Thomas Schultz, Anna Vilanova, Ingrid Hotz, Barbora Kozlíková, Pere-Pau Vázquez:
8th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM@MICCAI 2018, Granada, Spain, September 20-21, 2018. Eurographics Association 2018, ISBN 978-3-03868-056-7 [contents] - [i6]Andrea Fuster, Evren Özarslan, Thomas Schultz, Eugene Zhang:
Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy (Dagstuhl Seminar 18442). Dagstuhl Reports 8(10): 148-172 (2018) - 2017
- [j20]Michael Ankele, Lek-Heng Lim, Samuel Groeschel, Thomas Schultz:
Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1257-1270 (2017) - [j19]Shekoufeh Gorgi Zadeh, Stephan Didas, Maximilian W. M. Wintergerst, Thomas Schultz:
Multi-scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization. J. Math. Imaging Vis. 59(2): 257-269 (2017) - [j18]Mohammad Khatami, Tobias Schmidt-Wilcke, Pia C. Sundgren, Amin Abbasloo, Bernhard Schölkopf, Thomas Schultz:
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI. Pattern Recognit. 63: 593-600 (2017) - [c20]Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Vitalis Wiens, Sarah Thiele, Frank G. Holz, Robert Patrick Finger, Thomas Schultz:
CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence Tomography. DLMIA/ML-CDS@MICCAI 2017: 65-73 - [c19]Mohammad Khatami, Katrin Sakreida, Georg Neuloh, Thomas Schultz:
A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography. MICCAI (1) 2017: 647-655 - [i5]Andreas Haupt, Mohammad Khatami, Thomas Schultz, Ngoc Mai Tran:
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons. CoRR abs/1710.08878 (2017) - [i4]Amin Abbasloo, Vitalis Wiens, Tobias Schmidt-Wilcke, Pia C. Sundgren, Reinhard Klein, Thomas Schultz:
Visual Analytics of Group Differences in Tensor Fields: Application to Clinical DTI. CoRR abs/1711.08279 (2017) - 2016
- [j17]Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim:
Gradients Weights improve Regression and Classification. J. Mach. Learn. Res. 17: 22:1-22:34 (2016) - [j16]Max Hermann, Anja C. Schunke, Thomas Schultz, Reinhard Klein:
Accurate Interactive Visualization of Large Deformations and Variability in Biomedical Image Ensembles. IEEE Trans. Vis. Comput. Graph. 22(1): 708-717 (2016) - [j15]Changgong Zhang, Thomas Schultz, Kai Lawonn, Elmar Eisemann, Anna Vilanova:
Glyph-Based Comparative Visualization for Diffusion Tensor Fields. IEEE Trans. Vis. Comput. Graph. 22(1): 797-806 (2016) - [j14]Amin Abbasloo, Vitalis Wiens, Max Hermann, Thomas Schultz:
Visualizing Tensor Normal Distributions at Multiple Levels of Detail. IEEE Trans. Vis. Comput. Graph. 22(1): 975-984 (2016) - [j13]Jonathan Palacios, Harry Yeh, Wenping Wang, Yue Zhang, Robert S. Laramee, Ritesh Sharma, Thomas Schultz, Eugene Zhang:
Feature Surfaces in Symmetric Tensor Fields Based on Eigenvalue Manifold. IEEE Trans. Vis. Comput. Graph. 22(3): 1248-1260 (2016) - [c18]Shekoufeh Gorgi Zadeh, Max Hermann, Elisa Merklingen, Jan-Gero Schloetel, Thomas Schultz:
Quantifying image structures in high-throughput microscopy with total variation flow. ISBI 2016: 381-385 - [c17]Alexandra Tobisch, Tony Stöcker, Samuel Groeschel, Thomas Schultz:
Iteratively reweighted L1-fitting for model-independent outlier removal and regularization in diffusion MRI. ISBI 2016: 911-914 - [c16]Michael Ankele, Lek-Heng Lim, Samuel Groeschel, Thomas Schultz:
Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors. MICCAI (3) 2016: 502-510 - [i3]Shekoufeh Gorgi Zadeh, Stephan Didas, Maximilian W. M. Wintergerst, Thomas Schultz:
Multi-Scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization. CoRR abs/1611.06906 (2016) - [i2]Ingrid Hotz, Evren Özarslan, Thomas Schultz:
Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis (Dagstuhl Seminar 16142). Dagstuhl Reports 6(4): 16-38 (2016) - 2015
- [j12]Krishna Prasad Soundararajan, Thomas Schultz:
Learning Probabilistic Transfer Functions: A Comparative Study of Classifiers. Comput. Graph. Forum 34(3): 111-120 (2015) - [j11]Antonio de la Vega de León, Shilva Kayastha, Dilyana Dimova, Thomas Schultz, Jürgen Bajorath:
Visualization of multi-property landscapes for compound selection and optimization. J. Comput. Aided Mol. Des. 29(8): 695-705 (2015) - [c15]Simon Koppers, Thomas Schultz, Dorit Merhof:
Spherical Ridgelets for Multi-Diffusion Tensor Refinement. Bildverarbeitung für die Medizin 2015: 437-442 - [c14]Mohammad Khatami, Tobias Schmidt-Wilcke, Pia C. Sundgren, Amin Abbasloo, Bernhard Schölkopf, Thomas Schultz:
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease. MLMI 2015: 52-60 - [c13]Michael Ankele, Thomas Schultz:
Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis. MICCAI (1) 2015: 150-157 - [p6]Lauren J. O'Donnell, Thomas Schultz:
Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data. Visualization and Processing of Higher Order Descriptors for Multi-Valued Data 2015: 299-319 - [e3]Ingrid Hotz, Thomas Schultz:
Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. Springer 2015, ISBN 978-3-319-15089-5 [contents] - [e2]David Bommes, Tobias Ritschel, Thomas Schultz:
20th International Symposium on Vision, Modeling, and Visualization, VMV 2015, Aachen, Germany, October 7-10, 2015. Eurographics Association 2015, ISBN 978-3-905674-95-8 [contents] - 2014
- [j10]Peter Gerber, Lara Schlaffke, Stefanie Heba, Mark W. Greenlee, Thomas Schultz, Tobias Schmidt-Wilcke:
Juggling revisited - A voxel-based morphometry study with expert jugglers. NeuroImage 95: 320-325 (2014) - [c12]Max Hermann, Anja C. Schunke, Thomas Schultz, Reinhard Klein:
A Visual Analytics Approach to Study Anatomic Covariation. PacificVis 2014: 161-168 - [c11]Max Hermann, Reinhard Klein, Thomas Schultz:
Segmentation-free quantification of spots on a homogeneous background. IEEE VAST 2014: 253-254 - [c10]Vitalis Wiens, Lara Schlaffke, Tobias Schmidt-Wilcke, Thomas Schultz:
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes. EuroVis (Short Papers) 2014 - [p5]Thomas Schultz, Andrea Fuster, Aurobrata Ghosh, Rachid Deriche, Luc Florack, Lek-Heng Lim:
Higher-Order Tensors in Diffusion Imaging. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 129-161 - [p4]Georges-Pierre Bonneau, Hans-Christian Hege, Chris R. Johnson, Manuel M. Oliveira, Kristin Potter, Penny Rheingans, Thomas Schultz:
Overview and State-of-the-Art of Uncertainty Visualization. Scientific Visualization 2014: 3-27 - [p3]Thomas Schultz, Anna Vilanova, Ralph Brecheisen, Gordon L. Kindlmann:
Fuzzy Fibers: Uncertainty in dMRI Tractography. Scientific Visualization 2014: 79-92 - [e1]Thomas Schultz, Gemma L. Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki:
Computational Diffusion MRI and Brain Connectivity, MICCAI Workshops CDMRI/MMBC, Nagoya, Japan, September 22nd, 2013. Springer 2014, ISBN 978-3-319-02474-5 [contents] - 2013
- [j9]Thomas Schultz, Lara Schlaffke, Bernhard Schölkopf, Tobias Schmidt-Wilcke:
HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization. Comput. Graph. Forum 32(3): 121-130 (2013) - [j8]Thomas Schultz, Gordon L. Kindlmann:
Open-Box Spectral Clustering: Applications to Medical Image Analysis. IEEE Trans. Vis. Comput. Graph. 19(12): 2100-2108 (2013) - [c9]Thomas Schultz, Samuel Groeschel:
Auto-calibrating Spherical Deconvolution Based on ODF Sparsity. MICCAI (1) 2013: 663-670 - [i1]Thomas Schultz, Anna Vilanova, Ralph Brecheisen, Gordon L. Kindlmann:
Fuzzy Fibers: Uncertainty in dMRI Tractography. CoRR abs/1307.3271 (2013) - 2012
- [c8]Raúl San José Estépar, James C. Ross, Karl Russian, Thomas Schultz, George R. Washko, Gordon L. Kindlmann:
Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles. ISBI 2012: 1479-1482 - [c7]Thomas Schultz:
Learning a Reliable Estimate of the Number of Fiber Directions in Diffusion MRI. MICCAI (3) 2012: 493-500 - [c6]Thomas Schultz, Peter Gerber, Tobias Schmidt-Wilcke:
Juggling Increases Interhemispheric Brain Connectivity: A Visual and Quantitative dMRI Study. VMV 2012: 217-218 - 2011
- [j7]Thomas Schultz:
Topological Features in 2D Symmetric Higher-Order Tensor Fields. Comput. Graph. Forum 30(3): 841-850 (2011) - [c5]Thomas Schultz:
Segmenting Thalamic Nuclei: What Can We Gain from HARDI? MICCAI (2) 2011: 141-148 - [p2]Thomas Schultz:
Feature Extraction for DW-MRI Visualization: The State of the Art and Beyond. Scientific Visualization: Interactions, Features, Metaphors 2011: 322-345 - 2010
- [j6]Thomas Schultz, Gordon L. Kindlmann:
A Maximum Enhancing Higher-Order Tensor Glyph. Comput. Graph. Forum 29(3): 1143-1152 (2010) - [j5]Thomas Schultz, Holger Theisel, Hans-Peter Seidel:
Crease Surfaces: From Theory to Extraction and Application to Diffusion Tensor MRI. IEEE Trans. Vis. Comput. Graph. 16(1): 109-119 (2010) - [j4]Thomas Schultz, Gordon L. Kindlmann:
Superquadric Glyphs for Symmetric Second-Order Tensors. IEEE Trans. Vis. Comput. Graph. 16(6): 1595-1604 (2010) - [c4]Thomas Schultz, Carl-Fredrik Westin, Gordon L. Kindlmann:
Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework. MICCAI (1) 2010: 674-681
2000 – 2009
- 2009
- [b1]Thomas Schultz:
Feature extraction for visual analysis of DW-MRI data. Saarland University, Germany, 2009 - [p1]Thomas Schultz:
Verfahren zur merkmalsbasierten Analyse von Daten der Diffusions-Bildgebung. Ausgezeichnete Informatikdissertationen 2009: 251-260 - 2008
- [j3]Thomas Schultz, Natascha Sauber, Alfred Anwander, Holger Theisel, Hans-Peter Seidel:
Virtual Klingler Dissection: Putting Fibers into Context. Comput. Graph. Forum 27(3): 1063-1070 (2008) - [j2]Thomas Schultz, Hans-Peter Seidel:
Estimating Crossing Fibers: A Tensor Decomposition Approach. IEEE Trans. Vis. Comput. Graph. 14(6): 1635-1642 (2008) - [c3]Thomas Schultz, Hans-Peter Seidel:
Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data. DAGM-Symposium 2008: 193-202 - 2007
- [j1]Thomas Schultz, Holger Theisel, Hans-Peter Seidel:
Topological Visualization of Brain Diffusion MRI Data. IEEE Trans. Vis. Comput. Graph. 13(6): 1496-1503 (2007) - [c2]Thomas Schultz, Holger Theisel, Hans-Peter Seidel:
Segmentation of DT-MRI Anisotropy Isosurfaces. EuroVis 2007: 187-194 - 2006
- [c1]Thomas Schultz, Bernhard Burgeth, Joachim Weickert:
Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor. ISVC (1) 2006: 455-464
Coauthor Index
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