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Naofumi Tomita
Naofumi Tomita
Research Scientist, Dartmouth College
Verified email at dartmouth.edu
Title
Cited by
Cited by
Year
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
JW Wei, LJ Tafe, YA Linnik, LJ Vaickus, N Tomita, S Hassanpour
Scientific Reports 9 (1), 2019
2842019
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
N Tomita, YY Cheung, S Hassanpour
Computers in biology and medicine 98, 8-15, 2018
2292018
Attention-based deep neural networks for detection of cancerous and precancerous esophagus tissue on histopathological slides
N Tomita, B Abdollahi, J Wei, B Ren, A Suriawinata, S Hassanpour
JAMA network open 2 (11), e1914645-e1914645, 2019
1482019
Identifying substance use risk based on deep neural networks and Instagram social media data
S Hassanpour, N Tomita, T DeLise, B Crosier, LA Marsch
Neuropsychopharmacology 44 (3), 487-494, 2019
1312019
Evaluation of a deep neural network for automated classification of colorectal polyps on histopathologic slides
JW Wei, AA Suriawinata, LJ Vaickus, B Ren, X Liu, M Lisovsky, N Tomita, ...
JAMA network open 3 (4), e203398-e203398, 2020
782020
Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing Training
CHI Shih, N Tomita, YX Lukic, ÁH Reguera, E Fleisch, T Kowatsch
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
562019
Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification
J Wei, A Suriawinata, B Ren, X Liu, M Lisovsky, L Vaickus, C Brown, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
542021
Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network
N Tomita, S Jiang, ME Maeder, S Hassanpour
NeuroImage: clinical 27, 102276, 2020
522020
Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides
M Zhu, B Ren, R Richards, M Suriawinata, N Tomita, S Hassanpour
Scientific reports 11 (1), 7080, 2021
442021
A petri dish for histopathology image analysis
J Wei, A Suriawinata, B Ren, X Liu, M Lisovsky, L Vaickus, C Brown, ...
Artificial Intelligence in Medicine: 19th International Conference on …, 2021
442021
Data Augmentation in Training Deep Learning Models for Medical Image Analysis
B Abdollahi, N Tomita, S Hassanpour
Deep Learners and Deep Learner Descriptors for Medical Applications, 2020
412020
Evaluation of an artificial intelligence–augmented digital system for histologic classification of colorectal polyps
M Nasir-Moin, AA Suriawinata, B Ren, X Liu, DJ Robertson, S Bagchi, ...
JAMA Network Open 4 (11), e2135271-e2135271, 2021
212021
Predicting Oncogene Mutations of Lung Cancer Using Deep Learning and Histopathologic Features on Whole-Slide Images
N Tomita, LJ Tafe, AA Suriawinata, GJ Tsongalis, M Nasir-Moin, ...
Translational Oncology 24, 2022
132022
Pattern recognition in musculoskeletal imaging using artificial intelligence
N Gorelik, J Chong, DJ Lin
Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
122020
Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts
S Jiang, W Wu, N Tomita, C Ganoe, S Hassanpour
Journal of biomedical informatics 111, 103581, 2020
82020
Finding a needle in the haystack: Attention-based classification of high resolution microscopy images
N Tomita, B Abdollahi, J Wei, B Ren, A Suriawinata, S Hassanpour
arXiv preprint arXiv:1811.08513, 2018
72018
Detection of colorectal adenocarcinoma and grading dysplasia on histopathologic slides using deep learning
J Kim, N Tomita, AA Suriawinata, S Hassanpour
The American Journal of Pathology 193 (3), 332-340, 2023
42023
System and method for attention-based classification of high-resolution microscopy images
S Hassanpour, N Tomita
US Patent App. 17/608,016, 2022
42022
Difficulty translation in histopathology images
J Wei, A Suriawinata, X Liu, B Ren, M Nasir-Moin, N Tomita, J Wei, ...
Artificial Intelligence in Medicine: 18th International Conference on …, 2020
42020
Deep neural networks for automated classification of colorectal polyps on histopathology slides: a multi-institutional evaluation
JW Wei, AA Suriawinata, LJ Vaickus, B Ren, X Liu, M Lisovsky, N Tomita, ...
arXiv preprint arXiv:1909.12959, 2019
32019
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