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Parth Natekar
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 7
Top Topics
Fluorescence Microscopy
Deep Learning
Weakly Supervised
Neural Network
Top Venues
CoRR
Frontiers Comput. Neurosci.
PLoS Comput. Biol.
NeurIPS (Competition and Demos)
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Publications
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Zichen Wang
,
Parth Natekar
,
Challana Tea
,
Sharon Tamir
,
Hiroyuki Hakozaki
,
Johannes Schöneberg
MitoTNT: Mitochondrial Temporal Network Tracking for 4D live-cell fluorescence microscopy data.
PLoS Comput. Biol.
19 (4) (2023)
Parth Natekar
,
Avinash Kori
,
Ganapathy Krishnamurthi
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.
Frontiers Comput. Neurosci.
15 (2021)
Parth Natekar
,
Avinash Kori
,
Ganapathy Krishnamurthi
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.
Frontiers Comput. Neurosci.
14 (2020)
Yiding Jiang
,
Parth Natekar
,
Manik Sharma
,
Sumukh K. Aithal
,
Dhruva Kashyap
,
Natarajan Subramanyam
,
Carlos Lassance
,
Daniel M. Roy
,
Gintare Karolina Dziugaite
,
Suriya Gunasekar
,
Isabelle Guyon
,
Pierre Foret
,
Scott Yak
,
Hossein Mobahi
,
Behnam Neyshabur
,
Samy Bengio
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.
NeurIPS (Competition and Demos)
(2020)
Avinash Kori
,
Parth Natekar
,
Ganapathy Krishnamurthi
,
Balaji Srinivasan
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability.
CoRR
(2020)
Parth Natekar
,
Manik Sharma
Representation Based Complexity Measures for Predicting Generalization in Deep Learning.
CoRR
(2020)
Parth Natekar
,
Avinash Kori
,
Ganapathy Krishnamurthi
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis.
CoRR
(2019)