| ALFA-Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals M Sikaroudi, M Hosseini, S Rahnamayan, HR Tizhoosh Proceedings of the IEEE/CVF International Conference on Computer Vision … |
| Hospital-agnostic image representation learning in digital pathology M Sikaroudi, S Rahnamayan, HR Tizhoosh 2022 44th Annual International Conference of the IEEE Engineering in … |
| Automatic multi-stain registration of whole slide images in histopathology A Shafique, M Babaie, M Sajadi, A Batten, S Skdar, HR Tizhoosh 2021 43rd Annual International Conference of the IEEE Engineering in … |
| A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights S Hemati, MH Mehdizavareh, M Babaie, S Kalra, HR Tizhoosh 2021 IEEE International Conference on Image Processing (ICIP), 2748-2752 |
| CNN and deep sets for end-to-end whole slide image representation learning S Hemati, S Kalra, C Meaney, M Babaie, A Ghodsi, H Tizhoosh Medical Imaging with Deep Learning, 301-311 |
| Batch-incremental triplet sampling for training triplet networks using Bayesian updating theorem M Sikaroudi, B Ghojogh, F Karray, M Crowley, HR Tizhoosh 2020 25th International Conference on Pattern Recognition (ICPR), 7080-7086 |
| Pay attention with focus: A novel learning scheme for classification of whole slide images S Kalra, M Adnan, S Hemati, T Dehkharghanian, S Rahnamayan, … Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th … |
| Classifying pneumonia among chest X-rays using transfer learning A Irfan, AL Adivishnu, A Sze-To, T Dehkharghanian, S Rahnamayan, … 2020 42nd Annual International Conference of the IEEE Engineering in … |
| Supervision and source domain impact on representation learning: A histopathology case study M Sikaroudi, A Safarpoor, B Ghojogh, S Shafiei, M Crowley, HR Tizhoosh 2020 42nd Annual International Conference of the IEEE Engineering in … |
| A comparative study of U-net topologies for background removal in histopathology images A Riasatian, M Rasoolijaberi, M Babaei, HR Tizhoosh 2020 International Joint Conference on Neural Networks (IJCNN), 1-8 |
| Searching for pneumothorax in half a million chest x-ray images A Sze-To, H Tizhoosh Artificial Intelligence in Medicine: 18th International Conference on … |
| 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 … |
| Learning permutation invariant representations using memory networks S Kalra, M Adnan, G Taylor, HR Tizhoosh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 … |
| Subtractive Perceptrons for Learning Images: A Preliminary Report HR Tizhoosh, S Kalra, S Lifshitz, M Babaie 2019 Ninth International Conference on Image Processing Theory, Tools and … |
| 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 |
| Atrial fibrillation detection using deep features and convolutional networks S Ross-Howe, HR Tizhoosh 2019 IEEE EMBS International Conference on Biomedical & Health Informatics … |
| Deep features for tissue-fold detection in histopathology images M Babaie, HR Tizhoosh Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 … |
| Patch clustering for representation of histopathology images W Chenni, H Herbi, M Babaie, HR Tizhoosh Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 … |
| Deep barcodes for fast retrieval of histopathology scans MD Kumar, M Babaie, HR Tizhoosh 2018 International Joint Conference on Neural Networks (IJCNN), 1-8 |
| The effects of image pre-and post-processing, wavelet decomposition, and local binary patterns on U-nets for skin lesion segmentation S Ross-Howe, HR Tizhoosh 2018 International Joint Conference on Neural Networks (IJCNN), 1-8 |
| 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 |
| Deep Barcodes for Fast Retrieval of Histopathology Scans M Dinesh Kumar, M Babaie, H Tizhoosh 2018 International Joint Conference on Neural Networks (IJCNN), https … |
| 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 … |
| Learning autoencoded radon projections A Sriram, S Kalra, HR Tizhoosh, S Rahnamayan 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-5 |
| Barcodes for medical image retrieval using autoencoded radon transform HR Tizhoosh, C Mitcheltree, S Zhu, S Dutta 2016 23rd International Conference on Pattern Recognition (ICPR), 3150-3155 |
| Learning opposites using neural networks S Kalra, A Sriram, S Rahnamayan, HR Tizhoosh 2016 23rd International Conference on Pattern Recognition (ICPR), 1213-1218 |
| Binary codes for tagging x-ray images via deep de-noising autoencoders A Sze-To, HR Tizhoosh, AKC Wong 2016 International Joint Conference on Neural Networks (IJCNN), 2864-2871 |
| Radon features and barcodes for medical image retrieval via svm S Zhu, HR Tizhoosh 2016 International Joint Conference on Neural Networks (IJCNN), 5065-5071 |
| Minmax radon barcodes for medical image retrieval HR Tizhoosh, S Zhu, H Lo, V Chaudhari, T Mehdi Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las … |
| Stacked autoencoders for medical image search S Sharma, I Umar, L Ospina, D Wong, HR Tizhoosh Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las … |
| Autoencoding the retrieval relevance of medical images Z Camlica, HR Tizhoosh, F Khalvati 2015 International Conference on Image Processing Theory, Tools and … |
| Barcode annotations for medical image retrieval: A preliminary investigation HR Tizhoosh 2015 IEEE international conference on image processing (ICIP), 818-822 |