Naofumi Tomita

According to our database, Naofumi Tomita authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

2021

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.

Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Petri Dish for Histopathology Image Analysis.

Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Proceedings of the Artificial Intelligence in Medicine, 2021

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

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 for Biomedical Concepts.

Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour

CoRR, 2020

Difficulty Translation in Histopathology Images.

Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour

Proceedings of the Artificial Intelligence in Medicine, 2020

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

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

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, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour

CoRR, 2019

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

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

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.

Naofumi Tomita, Yvonne Y. Cheung, Saeed Hassanpour

Comput. Biol. Medicine, 2018