Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. - Naofumi Tomita; Yvonne Y. Cheung; Saeed Hassanpour (Comput. Biol. Medicine, 2018)

Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. - Naofumi Tomita; Behnaz Abdollahi; Jason Wei; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2018)

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. - Jason W. Wei; Laura J. Tafe; Yevgeniy A. Linnik; Louis J. Vaickus; Naofumi Tomita; Saeed Hassanpour (CoRR, 2019)

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. - Jason W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Naofumi Tomita; Behnaz Abdollahi; Adam S. Kim; Dale C. Snover; John A. Baron; Elizabeth L. Barry; et al. (CoRR, 2019)

Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. - Naofumi Tomita; Steven Jiang; Matthew E. Maeder; Saeed Hassanpour (CoRR, 2019)

Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing Training. - Chen-Hsuan Iris Shih; Naofumi Tomita; Yanick X. Lukic; Álvaro Hernández Reguera; Elgar Fleisch; Tobias Kowatsch (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Difficulty Translation in Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Xiaoying Liu 002; Bing Ren; Mustafa Nasir-Moin; Naofumi Tomita; Jason Wei; Saeed Hassanpour (AIME, 2020)

Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts. - Steven Jiang; Weiyi Wu; Naofumi Tomita; Craig H. Ganoe; Saeed Hassanpour (CoRR, 2020)

Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides. - Mengdan Zhu; Bing Ren; Ryland Richards; Matthew A. Suriawinata; Naofumi Tomita; Saeed Hassanpour (CoRR, 2020)

Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts. - Steven Jiang; Weiyi Wu; Naofumi Tomita; Craig H. Ganoe; Saeed Hassanpour (J. Biomed. Informatics, 2020)

A Petri Dish for Histopathology Image Analysis. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Naofumi Tomita; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2021)

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Mustafa Nasir-Moin; Naofumi Tomita; Lorenzo Torresani; Jason Wei; et al. (WACV, 2021)

A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer. - Jack McMahon; Naofumi Tomita; Elizabeth S. Tatishev; Adrienne A. Workman; Cristina R. Costales; Niaz Banaei; Isabella W. Martin; Saeed Hassanpour (CoRR, 2024)

Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology. - Amit Das; Tanmay Shukla; Naofumi Tomita; Ryland Richards; Laura Vidis; Bing Ren; Saeed Hassanpour (CoRR, 2024)

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images. - Amit Das; Naofumi Tomita; Kyle J. Syme; Weijie Ma; Paige O'Connor; Kristin N. Corbett; Bing Ren; Xiaoying Liu 002; Saeed Hassanpour (CoRR, 2025)