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Shivam Kalra
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Journal Articles
- 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 2016
- [c2]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning opposites using neural networks. ICPR 2016: 1213-1218 - 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
Informal and Other Publications
- 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
- [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
- [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
- [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
- [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) - 2019
- [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) - 2017
- [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
- [i1]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning Opposites Using Neural Networks. CoRR abs/1609.05123 (2016)
Coauthor Index
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