Naofumi Tomita

Naofumi Tomita

Dartmouth College

H-index: 12

North America-United States

About Naofumi Tomita

Naofumi Tomita, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Dartmouth College, specializes in the field of Deep Learning, Computer Vision, Medical Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Detection of colorectal adenocarcinoma and grading dysplasia on histopathologic slides using deep learning

System and method for attention-based classification of high-resolution microscopy images

Estimating clear cell renal cell carcinoma transcriptomic signatures using machine learning and histopathology images.

System and method for automatic detection of vertebral fractures on imaging scans using deep networks

Predicting Oncogene Mutations of Lung Cancer Using Deep Learning and Histopathologic Features on Whole-Slide Images

Breeze, ein spielerisches Biofeedback Atemtraining für das Smartphone: Physiologische Reaktionen und subjektive Einschätzungen aus einem Labor-und Online-Experiment

A petri dish for histopathology image analysis

Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification

Naofumi Tomita Information

University

Position

Research Scientist

Citations(all)

1153

Citations(since 2020)

1148

Cited By

275

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Dartmouth College

Google Scholar

View Google Scholar Profile

Naofumi Tomita Skills & Research Interests

Deep Learning

Computer Vision

Medical Image Analysis

Top articles of Naofumi Tomita

Title

Journal

Author(s)

Publication Date

Detection of colorectal adenocarcinoma and grading dysplasia on histopathologic slides using deep learning

The American Journal of Pathology

Junhwi Kim

Naofumi Tomita

Arief A Suriawinata

Saeed Hassanpour

2023/3/1

System and method for attention-based classification of high-resolution microscopy images

2022/9/29

Estimating clear cell renal cell carcinoma transcriptomic signatures using machine learning and histopathology images.

Saeed Hassanpour

Naofumi Tomita

Ritesh Kotecha

Chung-Han Lee

2022/6/1

System and method for automatic detection of vertebral fractures on imaging scans using deep networks

2022/5/12

Predicting Oncogene Mutations of Lung Cancer Using Deep Learning and Histopathologic Features on Whole-Slide Images

Translational Oncology

Naofumi Tomita

Laura J Tafe

Arief A Suriawinata

Gregory J Tsongalis

Mustafa Nasir-Moin

...

2022

Breeze, ein spielerisches Biofeedback Atemtraining für das Smartphone: Physiologische Reaktionen und subjektive Einschätzungen aus einem Labor-und Online-Experiment

Yanick Xavier Lukic

Shari Klein

Iris Shih

Naofumi Tomita

Helen Galliker

...

2021/1/13

A petri dish for histopathology image analysis

2021 Conference on Artificial Intelligence in Medicine (AIME)

Jerry Wei

Arief Suriawinata

Bing Ren

Xiaoying Liu

Mikhail Lisovsky

...

2021/1/29

Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification

Jerry Wei

Arief Suriawinata

Bing Ren

Xiaoying Liu

Mikhail Lisovsky

...

2020/9/29

Evaluation of an artificial intelligence–augmented digital system for histologic classification of colorectal polyps

JAMA Network Open

Mustafa Nasir-Moin

Arief A Suriawinata

Bing Ren

Xiaoying Liu

Douglas J Robertson

...

2021/11/1

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides

Scientific reports

Mengdan Zhu

Bing Ren

Ryland Richards

Matthew Suriawinata

Naofumi Tomita

...

2021/3/29

Difficulty translation in histopathology images

Jerry Wei

Arief Suriawinata

Xiaoying Liu

Bing Ren

Mustafa Nasir-Moin

...

2020/9/26

Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network

NeuroImage: clinical

Naofumi Tomita

Steven Jiang

Matthew E Maeder

Saeed Hassanpour

2020/1/1

Data Augmentation in Training Deep Learning Models for Medical Image Analysis

Behnaz Abdollahi

Naofumi Tomita

Saeed Hassanpour

2019

Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts

Journal of biomedical informatics

Steven Jiang

Weiyi Wu

Naofumi Tomita

Craig Ganoe

Saeed Hassanpour

2020/11/1

Evaluation of a deep neural network for automated classification of colorectal polyps on histopathologic slides

JAMA network open

Jason W Wei

Arief A Suriawinata

Louis J Vaickus

Bing Ren

Xiaoying Liu

...

2020/4/1

Pattern recognition in musculoskeletal imaging using artificial intelligence

Natalia Gorelik

Jaron Chong

Dana J Lin

2020/2

See List of Professors in Naofumi Tomita University(Dartmouth College)