Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. - Milad Sikaroudi; Amir Safarpoor; Benyamin Ghojogh; Sobhan Shafiei; Mark Crowley 001; Hamid R. Tizhoosh (EMBC, 2020)

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. - Milad Sikaroudi; Benyamin Ghojogh; Amir Safarpoor; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISVC (1), 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)

Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model. - Sobhan Shafiei; Amir Safarpoor; Ahad Jamalizadeh; Hamid R. Tizhoosh (IEEE Trans. Medical Imaging, 2020)

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)

Deep Weakly Supervised Learning for Whole Slide Image Representation: A Multimodal Approach. - Amir Safarpoor (2021)

Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification. - Amir Safarpoor; Jason D. Hipp; Hamid R. Tizhoosh (CoRR, 2022)