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Thomas 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
— University of Geneva, Law Faculty, Switzerland
- Thomas Schultz 0004
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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
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
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography. CDMRI@MICCAI 2023: 140-151 - [c36]Jonathan Lennartz
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
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
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
Lossless PDE-based Compression of 3D Medical Images. SSVM 2021: 450-462 - [c30]Johannes Gruen, Gemma van der Voort
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
RefCurv: A software for the construction of pediatric reference curves. Softw. Impacts 6: 100040 (2020) - [c29]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c28]Simon Mueller
Automated Detection of Diabetic Retinopathy from Smartphone Fundus Videos. OMIA@MICCAI 2020: 83-92 - [c27]Rasha Sheikh
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
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
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
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
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
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
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
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI. Pattern Recognit. 63: 593-600 (2017) - [c20]Shekoufeh Gorgi Zadeh
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
Feature Surfaces in Symmetric Tensor Fields Based on Eigenvalue Manifold. IEEE Trans. Vis. Comput. Graph. 22(3): 1248-1260 (2016) - [c18]Shekoufeh Gorgi Zadeh
Quantifying image structures in high-throughput microscopy with total variation flow. ISBI 2016: 381-385 - [c17]Alexandra Tobisch
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
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
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
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
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes. EuroVis (Short Papers) 2014 - [p5]Thomas Schultz, Andrea Fuster
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
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
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
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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last updated on 2024-10-23 20:30 CEST by the dblp team
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