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Shivam Kalra
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2020 – today
- 2024
- [i21]Mohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul:
Structured Model Pruning for Efficient Inference in Computational Pathology. CoRR abs/2404.08831 (2024) - 2023
- [j6]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. Comput. Biol. Medicine 162: 107026 (2023) - [i20]Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh
:
Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'. CoRR abs/2304.08297 (2023) - 2022
- [j5]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian
, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell
, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh
:
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine 132: 102368 (2022) - [i19]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search. CoRR abs/2208.13653 (2022) - 2021
- [j4]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri
, Amir Safarpoor
, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi
, Milad Sikaroudi, Mohd Adnan
, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [c18]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. ICIP 2021: 2748-2752 - [c17]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. MICCAI (8) 2021: 350-359 - [c16]Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh:
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL 2021: 301-311 - [i18]Sobhan Shafiei
, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. CoRR abs/2102.07611 (2021) - [i17]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. CoRR abs/2106.06623 (2021) - [i16]Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh:
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR abs/2111.11343 (2021) - 2020
- [j3]Shivam Kalra, Hamid R. Tizhoosh
, Charles Choi, Sultaan Shah, Phedias Diamandis, Clinton J. V. Campbell
, Liron Pantanowitz:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. Medical Image Anal. 65: 101757 (2020) - [j2]Shivam Kalra
, Hamid R. Tizhoosh
, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor
, Sobhan Shafiei
, Morteza Babaie, Phedias Diamandis
, Clinton J. V. Campbell
, Liron Pantanowitz:
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. npj Digit. Medicine 3 (2020) - [c15]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. AIME 2020: 227-237 - [c14]Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. CVPR Workshops 2020: 4254-4261 - [c13]Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations Using Memory Networks. ECCV (29) 2020: 677-693 - [c12]Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. EMBC 2020: 1416-1419 - [i15]Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. CoRR abs/2004.07399 (2020) - [i14]Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. CoRR abs/2005.03748 (2020) - [i13]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. CoRR abs/2008.03553 (2020)
2010 – 2019
- 2019
- [c11]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. IJCNN 2019: 1-9 - [c10]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie
:
Subtractive Perceptrons for Learning Images: A Preliminary Report. IPTA 2019: 1-6 - [i12]Shivam Kalra, Larry Li, Hamid R. Tizhoosh:
Automatic Classification of Pathology Reports using TF-IDF Features. CoRR abs/1903.07406 (2019) - [i11]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. CoRR abs/1904.00740 (2019) - [i10]Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie:
Subtractive Perceptrons for Learning Images: A Preliminary Report. CoRR abs/1909.12933 (2019) - [i9]Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations using Memory Networks. CoRR abs/1911.07984 (2019) - [i8]Shivam Kalra, Hamid R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton J. V. Campbell
, Liron Pantanowitz:
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence. CoRR abs/1911.08736 (2019) - [i7]Shivam Kalra, Charles Choi, Sultaan Shah, Liron Pantanowitz, Hamid R. Tizhoosh:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. CoRR abs/1911.08748 (2019) - 2018
- [j1]Shujin Zhu, Yuehua Li, Shivam Kalra, Hamid R. Tizhoosh:
Multiple disjoint dictionaries for representation of histopathology images. J. Vis. Commun. Image Represent. 55: 243-252 (2018) - [c9]Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh:
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. IJCNN 2018: 1-7 - 2017
- [c8]Shivam Kalra
, Shahryar Rahnamayan, Kalyanmoy Deb:
Enhancing clearing-based niching method using Delaunay Triangulation. CEC 2017: 2328-2337 - [c7]Morteza Babaie
, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CVPR Workshops 2017: 760-768 - [c6]Brady Kieffer, Morteza Babaie
, Shivam Kalra, Hamid R. Tizhoosh:
Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. IPTA 2017: 1-6 - [c5]Meghana Dinesh Kumar, Morteza Babaie
, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh:
A comparative study of CNN, BoVW and LBP for classification of histopathological images. SSCI 2017: 1-7 - [c4]Bill S. Lin
, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh:
Skin lesion segmentation: U-Nets versus clustering. SSCI 2017: 1-7 - [c3]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning autoencoded radon projections. SSCI 2017: 1-5 - [i6]Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CoRR abs/1705.07522 (2017) - [i5]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning Autoencoded Radon Projections. CoRR abs/1710.01247 (2017) - [i4]Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh:
Skin Lesion Segmentation: U-Nets versus Clustering. CoRR abs/1710.01248 (2017) - [i3]Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh:
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images. CoRR abs/1710.01249 (2017) - [i2]Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks. CoRR abs/1710.05726 (2017) - 2016
- [c2]Shivam Kalra
, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning opposites using neural networks. ICPR 2016: 1213-1218 - [i1]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning Opposites Using Neural Networks. CoRR abs/1609.05123 (2016) - 2014
- [c1]Raazi Rizvi, Shivam Kalra
, Chirag Gosalia, Shahryar Rahnamayan:
Fuzzy Adaptive Cruise Control system with speed sign detection capability. FUZZ-IEEE 2014: 968-976
Coauthor Index
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last updated on 2024-05-31 02:31 CEST by the dblp team
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