Shivam Kalra

According to our database, Shivam Kalra authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Structured Model Pruning for Efficient Inference in Computational Pathology.

Mohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul

CoRR, 2024

2023

Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.

Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh

Comput. Biol. Medicine, August, 2023

Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'.

Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh

CoRR, 2023

2022

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology.

Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh

Artif. Intell. Medicine, 2022

2021

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

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

Medical Image Anal., 2021

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing.

Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh

CoRR, 2021

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings.

Sobhan Shafiei, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

CoRR, 2021

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning.

Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images.

Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights.

Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence.

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

npj Digit. Medicine, 2020

<i>Yottixel</i> - An Image Search Engine for Large Archives of Histopathology Whole Slide Images.

Shivam Kalra, Hamid R. Tizhoosh, Charles Choi, Sultaan Shah, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz

Medical Image Anal., 2020

Recognizing Magnification Levels in Microscopic Snapshots.

Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Learning Permutation Invariant Representations Using Memory Networks.

Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh

Proceedings of the Computer Vision - ECCV 2020, 2020

Representation Learning of Histopathology Images using Graph Neural Networks.

Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Forming Local Intersections of Projections for Classifying and Searching Histopathology Images.

Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images.

Shivam Kalra, Charles Choi, Sultaan Shah, Liron Pantanowitz, Hamid R. Tizhoosh

CoRR, 2019

Automatic Classification of Pathology Reports using TF-IDF Features.

Shivam Kalra, Larry Li, Hamid R. Tizhoosh

CoRR, 2019

Subtractive Perceptrons for Learning Images: A Preliminary Report.

Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Projectron - A Shallow and Interpretable Network for Classifying Medical Images.

Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Multiple disjoint dictionaries for representation of histopathology images.

Shujin Zhu, Yuehua Li, Shivam Kalra, Hamid R. Tizhoosh

J. Vis. Commun. Image Represent., 2018

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images.

Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Learning autoencoded radon projections.

Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Skin lesion segmentation: U-Nets versus clustering.

Bill S. Lin, Kevin Michael, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A comparative study of CNN, BoVW and LBP for classification of histopathological images.

Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks.

Brady Kieffer, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Classification and Retrieval of Digital Pathology Scans: A New Dataset.

Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Enhancing clearing-based niching method using Delaunay Triangulation.

Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Learning opposites using neural networks.

Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

Fuzzy Adaptive Cruise Control system with speed sign detection capability.

Raazi Rizvi, Shivam Kalra, Chirag Gosalia, Shahryar Rahnamayan

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014