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Prateek Katiyar
Prateek Katiyar
Novartis Institutes for BioMedical Research, Novartis
在 novartis.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
572018
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
422019
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
382016
ResNet After All: Neural ODEs and Their Numerical Solution
K Ott, P Katiyar, P Hennig, M Tiemann
International Conference on Learning Representations, 2021
312021
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, 391-397, 2017
262017
Machine learning identifies stroke features between species
S Castaneda-Vega, P Katiyar, F Russo, K Patzwaldt, L Schnabel, ...
Theranostics 11, 3017-3034, 2021
122021
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
112017
When are neural ODE solutions proper ODEs?
K Ott, P Katiyar, P Hennig, M Tiemann
arXiv preprint arXiv:2007.15386, 2020
102020
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
92018
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data
P Katiyar, J Schwenck, L Frauenfeld, MR Divine, V Agrawal, U Kohlhofer, ...
Nature Biomedical Engineering 7 (8), 1014-1027, 2023
52023
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
P Katiyar, A Khoreva
arXiv preprint arXiv:2011.12636, 2020
22020
Device and method of training a generative neural network
A Khoreva, P Katiyar
US Patent App. 17/446,660, 2022
12022
System and method for training a neural ode network
K Ott, M Tiemann, P Katiyar
US Patent App. 17/351,772, 2022
12022
Device and method for operating a neural network
AMM Delgado, A Khoreva, L Hoyer, P Katiyar, V Fischer
US Patent App. 16/922,544, 2021
12021
Mapping tissue heterogeneity in solid tumours using PET–MRI and machine learning
P Katiyar, B Pichler
Nature Research Briefing, 2023
2023
Method for determining an output signal by means of a neural network
C Blaiotta, P Katiyar
US Patent App. 17/652,132, 2022
2022
Quantification of tumor heterogeneity using PET/MRI and machine learning
P Katiyar
Universität Tübingen, 2021
2021
PET/MR
AM Schmid, P Katiyar, JG Mannheim
Imaging Modalities for Biological and Preclinical Research: A Compendium …, 2021
2021
Glioblastoma segmentation using unsupervised machine learning
S Castaneda, P Katiyar, J Disselhorst, B Bender, M Reimold, J Hempel, ...
Nuklearmedizin-NuclearMedicine 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
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