Machine learning techniques for mitoses classification S Nofallah, S Mehta, E Mercan, S Knezevich, CJ May, D Weaver, D Witten, ... Computerized Medical Imaging and Graphics 87, 101832, 2021 | 31 | 2021 |
Scale-Aware Transformers for Diagnosing Melanocytic Lesions W Wu, S Mehta, S Nofallah, S Knezevich, CJ May, OH Chang, JG Elmore, ... IEEE Access 9, 163526-163541, 2021 | 25 | 2021 |
Multi stain graph fusion for multimodal integration in pathology C Dwivedi, S Nofallah, M Pouryahya, J Iyer, K Leidal, C Chung, T Watkins, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
Segmenting skin biopsy images with coarse and sparse annotations using U-Net S Nofallah, M Mokhtari, W Wu, S Mehta, S Knezevich, CJ May, OH Chang, ... Journal of Digital Imaging 35 (5), 1238-1249, 2022 | 11 | 2022 |
Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations K Liu, M Mokhtari, B Li, S Nofallah, C May, O Chang, S Knezevich, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
Improving the Diagnosis of Skin Biopsies Using Tissue Segmentation S Nofallah, B Li, M Mokhtari, W Wu, S Knezevich, CJ May, OH Chang, ... Diagnostics 12 (7), 1713, 2022 | 7 | 2022 |
EXPLORATORY ANALYSES OF NASH HISTOLOGY USING CRN SCORES DERIVED FROM A MULTI-STAIN MACHINE LEARNING METHOD J Abel, C Dwivedi, S Nofallah, M Pouryahya, J Brosnan-Cashman, ... HEPATOLOGY 76, S69-S70, 2022 | 2 | 2022 |
Association of machine learning (ML)–derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC). N Beig, S Nofallah, DF McDermott, RJ Motzer, T Powles, BI Rini, ... Journal of Clinical Oncology 42 (16_suppl), 4519-4519, 2024 | 1 | 2024 |
Automated analysis of whole slide digital skin biopsy images S Nofallah, W Wu, K Liu, F Ghezloo, JG Elmore, LG Shapiro Frontiers in Artificial Intelligence 5, 1005086, 2022 | 1 | 2022 |
110 Deep learning models identify key tumor microenvironment features associated with genetic signatures of UV mutagenesis and alkylating agent treatment in melanoma S Nofallah, DT Sanghavi, S Gupta, C Shen, N Le, L Yu, B Rahsepar, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
122 Quantification of tumor infiltrating lymphocytes (TILs) from pathology slides reflects molecular immune phenotypes C Shen, S Nofallah, J Conway, C Parmar, MG Drage, F Najdawi, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis TH Nguyen, D Juyal, J Li, A Prakash, S Nofallah, C Shah, SC Gullapally, ... arXiv preprint arXiv:2306.04527, 2023 | | 2023 |
Machine learning models identify key histological features of renal cell carcinoma subtypes S Vilchez, I Finberg, M Markey, S Nofallah, K Sucpito, F Najdawi, G Singh, ... Cancer Research 83 (7_Supplement), 5422-5422, 2023 | | 2023 |
Providing Prognostic and Diagnostic Tools Towards Melanoma Diagnosis S Nofallah University of Washington, 2022 | | 2022 |
Applications of the ESPNet architecture in medical imaging S Mehta, N Nuechterlein, E Mercan, B Li, S Nofallah, W Wu, X Lu, A Caspi, ... State of the Art in Neural Networks and their Applications, 117-131, 2021 | | 2021 |