Prateek Katiyar
Prateek Katiyar
Research Scientist at Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
A population-based Gaussian mixture model incorporating 18F-FDG PET and diffusion-weighted MRI quantifies tumor tissue classes
MR Divine, P Katiyar, U Kohlhofer, L Quintanilla-Martinez, BJ Pichler, ...
Journal of Nuclear Medicine 57 (3), 473-479, 2016
252016
PET/MRI hybrid systems
JG Mannheim, AM Schmid, J Schwenck, P Katiyar, K Herfert, BJ Pichler, ...
Seminars in nuclear medicine 48 (4), 332-347, 2018
202018
A novel unsupervised segmentation approach quantifies tumor tissue populations using multiparametric MRI: first results with histological validation
P Katiyar, MR Divine, U Kohlhofer, L Quintanilla-Martinez, B Schölkopf, ...
Molecular imaging and biology 19 (3), 391-397, 2017
142017
Impact of the Arterial Input Function Recording Method on Kinetic Parameters in Small-Animal PET
H Napieczynska, A Kolb, P Katiyar, M Tonietto, M Ud-Dean, R Stumm, ...
Journal of Nuclear Medicine 59 (7), 1159-1164, 2018
62018
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Advances in Neural Information Processing Systems (NeurIPS), 2019
42019
Spectral clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach
P Katiyar, MR Divine, U Kohlhofer, L Quintanilla-Martinez, B Schölkopf, ...
Journal of Nuclear Medicine 58 (4), 651-657, 2017
42017
When are Neural ODE Solutions Proper ODEs?
K Ott, P Katiyar, P Hennig, M Tiemann
arXiv preprint arXiv:2007.15386, 2020
12020
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
P Katiyar, A Khoreva
arXiv preprint arXiv:2011.12636, 2020
2020
Glioblastoma segmentation using unsupervised machine learning
S Castaneda, P Katiyar, J Disselhorst, B Bender, M Reimold, J Hempel, ...
Nuklearmedizin 59 (02), P118, 2020
2020
Multiparametric analysis of MRI using machine learning allows stroke identification and stroke core prediction
SC Vega, P Katiyar, F Russo, K Partzwaldt, JM Hempel, ...
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 493-493, 2019
2019
Quantification of tumor heterogeneity using PET/MRI and machine learning
P Katiyar
Universität Tübingen, 2019
2019
Grid Saliency for Context Explanations of Semantic Segmentation
L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Advances in Neural Information Processing Systems 32, 6462-6473, 2019
2019
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