Fuzzy Adaptive Cruise Control system with speed sign detection capability. - Raazi Rizvi; Shivam Kalra; Chirag Gosalia; Shahryar Rahnamayan (FUZZ-IEEE, 2014)

Learning opposites using neural networks. - Shivam Kalra; Aditya Sriram; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICPR, 2016)

Enhancing clearing-based niching method using Delaunay Triangulation. - Shivam Kalra; Shahryar Rahnamayan; Kalyanmoy Deb (CEC, 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 (CVPR Workshops, 2017)

Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks. - Brady Kieffer; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (IPTA, 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 (SSCI, 2017)

Skin lesion segmentation: U-Nets versus clustering. - Bill S. Lin; Kevin Michael; Shivam Kalra; Hamid R. Tizhoosh (SSCI, 2017)

Learning autoencoded radon projections. - Aditya Sriram; Shivam Kalra; Hamid R. Tizhoosh; Shahryar Rahnamayan (SSCI, 2017)

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. - Taha J. Alhindi; Shivam Kalra; Ka Hin Ng; Anika Afrin; Hamid R. Tizhoosh (IJCNN, 2018)

Multiple disjoint dictionaries for representation of histopathology images. - Shujin Zhu; Yuehua Li; Shivam Kalra; Hamid R. Tizhoosh (J. Vis. Commun. Image Represent., 2018)

Projectron - A Shallow and Interpretable Network for Classifying Medical Images. - Aditya Sriram; Shivam Kalra; Hamid R. Tizhoosh (IJCNN, 2019)

Subtractive Perceptrons for Learning Images: A Preliminary Report. - Hamid R. Tizhoosh; Shivam Kalra; Shalev Lifshitz; Morteza Babaie (IPTA, 2019)

Automatic Classification of Pathology Reports using TF-IDF Features. - Shivam Kalra; Larry Li; Hamid R. Tizhoosh (CoRR, 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)

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 (AIME, 2020)

Representation Learning of Histopathology Images using Graph Neural Networks. - Mohammed Adnan; Shivam Kalra; Hamid R. Tizhoosh (CVPR Workshops, 2020)

Learning Permutation Invariant Representations Using Memory Networks. - Shivam Kalra; Mohammed Adnan; Graham W. Taylor; Hamid R. Tizhoosh (ECCV (29), 2020)

Recognizing Magnification Levels in Microscopic Snapshots. - Manit Zaveri; Shivam Kalra; Morteza Babaie; Sultaan Shah; Savvas Damaskinos; Hany Kashani; Hamid R. Tizhoosh (EMBC, 2020)

Yottixel - 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)

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)

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (ICIP, 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 (MICCAI (8), 2021)

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. - Sobhan Hemati; Shivam Kalra; Cameron Meaney; Morteza Babaie; Ali Ghodsi 001; Hamid R. Tizhoosh (MIDL, 2021)

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. - Sobhan Shafiei; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (CoRR, 2021)

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. - Shivam Kalra; Junfeng Wen; Jesse C. Cresswell; Maksims Volkovs; Hamid R. Tizhoosh (CoRR, 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; et al. (Medical Image Anal., 2021)

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)

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)

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, 2023)

Structured Model Pruning for Efficient Inference in Computational Pathology. - Mohammed Adnan; Qinle Ba; Nazim Shaikh; Shivam Kalra; Satarupa Mukherjee; Auranuch Lorsakul (MOVI@MICCAI, 2024)