| Convolutional neural networks for histopathology image classification: Training vs. using pre-trained networks B Kieffer, M Babaie, S Kalra, HR Tizhoosh 2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017 | 64 | 2017 |
| A comparative study of CNN, BoVW and LBP for classification of histopathological images MD Kumar, M Babaie, S Zhu, S Kalra, HR Tizhoosh 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 48 | 2017 |
| Skin lesion segmentation: U-Nets versus clustering BS Lin, K Michael, S Kalra, HR Tizhoosh 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 39 | 2017 |
| Classification and retrieval of digital pathology scans: A new dataset M Babaie, S Kalra, A Sriram, C Mitcheltree, S Zhu, A Khatami, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 35 | 2017 |
| Comparing LBP, HOG and deep features for classification of histopathology images TJ Alhindi, S Kalra, KH Ng, A Afrin, HR Tizhoosh 2018 international joint conference on neural networks (IJCNN), 1-7, 2018 | 27 | 2018 |
| Fuzzy adaptive cruise control system with speed sign detection capability R Rizvi, S Kalra, C Gosalia, S Rahnamayan 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 968-976, 2014 | 13 | 2014 |
| Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence S Kalra, HR Tizhoosh, S Shah, C Choi, S Damaskinos, A Safarpoor, ... NPJ digital medicine 3 (1), 1-15, 2020 | 9 | 2020 |
| Yottixel–an image search engine for large archives of histopathology whole slide images S Kalra, HR Tizhoosh, C Choi, S Shah, P Diamandis, CJV Campbell, ... Medical Image Analysis 65, 101757, 2020 | 7 | 2020 |
| Multiple disjoint dictionaries for representation of histopathology images S Zhu, Y Li, S Kalra, HR Tizhoosh Journal of Visual Communication and Image Representation 55, 243-252, 2018 | 6 | 2018 |
| Projectron–A Shallow and Interpretable Network for Classifying Medical Images A Sriram, S Kalra, HR Tizhoosh 2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019 | 4 | 2019 |
| Automatic classification of pathology reports using TF-IDF Features S Kalra, L Li, HR Tizhoosh arXiv preprint arXiv:1903.07406, 2019 | 4 | 2019 |
| Learning autoencoded radon projections A Sriram, S Kalra, HR Tizhoosh, S Rahnamayan 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-5, 2017 | 4 | 2017 |
| Learning opposites using neural networks S Kalra, A Sriram, S Rahnamayan, HR Tizhoosh 2016 23rd International Conference on Pattern Recognition (ICPR), 1213-1218, 2016 | 4 | 2016 |
| Learning Permutation Invariant Representations using Memory Networks S Kalra, M Adnan, G Taylor, HR Tizhoosh European Conference on Computer Vision, 677-693, 2020 | 2 | 2020 |
| Content-based Image Retrieval of Gigapixel Histopathology Scans: A Comparative Study of Convolution Neural Network, Local Binary Pattern, and Bag of visual Words S Kalra University of Waterloo, 2018 | 2 | 2018 |
| Enhancing clearing-based niching method using Delaunay Triangulation S Kalra, S Rahnamayan, K Deb 2017 IEEE Congress on Evolutionary Computation (CEC), 2328-2337, 2017 | 2 | 2017 |
| Representation Learning of Histopathology Images using Graph Neural Networks M Adnan, S Kalra, HR Tizhoosh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1 | 2020 |
| Generative models in pathology: synthesis of diagnostic quality pathology images† A Safarpoor, S Kalra, HR Tizhoosh The Journal of Pathology, 2020 | | 2020 |
| Forming Local Intersections of Projections for Classifying and Searching Histopathology Images A Sriram, S Kalra, M Babaie, B Kieffer, W Al Drobi, S Rahnamayan, ... International Conference on Artificial Intelligence in Medicine, 227-237, 2020 | | 2020 |
| A Digital Pathology Solution to Resolve the Tissue Floater Conundrum L Pantanowitz, P Michelow, S Hazelhurst, S Kalra, C Choi, S Shah, ... Archives of Pathology & Laboratory Medicine, 2020 | | 2020 |
