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Hassanpour Lab
Home
Research
Team
Publications
Teaching
Join Us
Contact
Tools❐
Datasets❐
CPHAI❐
Home
Research
Team
Publications
Teaching
Join Us
Contact
Tools❐
Datasets❐
CPHAI❐

Browse by research highlights:

Precision Cancer Care
Histology Image Analysis
Real-World Healthcare Application
Foundational AI Research
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models
EMNLP 2023 Naofumi Tomita 12/6/23 EMNLP 2023 Naofumi Tomita 12/6/23

Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models

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Non-Metastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Breast Cancer patients at Risk for Metastasis
The American Journal of Pathology Naofumi Tomita 11/27/23 The American Journal of Pathology Naofumi Tomita 11/27/23

Non-Metastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Breast Cancer patients at Risk for Metastasis

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Improving Representation Learning for Histopathologic Images with Cluster Constraints
ICCV 2023 Naofumi Tomita 10/2/23 ICCV 2023 Naofumi Tomita 10/2/23

Improving Representation Learning for Histopathologic Images with Cluster Constraints

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Automated Classification Of Fat-infiltrated Axillary Lymph Nodes On Screening Mammograms
The British Journal of Radiology Naofumi Tomita 9/26/23 The British Journal of Radiology Naofumi Tomita 9/26/23

Automated Classification Of Fat-infiltrated Axillary Lymph Nodes On Screening Mammograms

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Improving Syntactic Probing Correctness and Robustness with Control Tasks
Association for Computational Linguistics (ACL) Naofumi Tomita 7/9/23 Association for Computational Linguistics (ACL) Naofumi Tomita 7/9/23

Improving Syntactic Probing Correctness and Robustness with Control Tasks

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Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder
Journal of Medical Internet Research Naofumi Tomita 6/13/23 Journal of Medical Internet Research Naofumi Tomita 6/13/23

Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder

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MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images
Computers in Biology and Medicine BMIRDS . 4/5/23 Computers in Biology and Medicine BMIRDS . 4/5/23

MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images

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Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep Learning
The American Journal of Pathology BMIRDS . 2/23/23 The American Journal of Pathology BMIRDS . 2/23/23

Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep Learning

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Graph Convolutional Neural Networks for Histologic Classification of Pancreatic Cancer
Archives of Pathology & Laboratory Medicine BMIRDS . 1/20/23 Archives of Pathology & Laboratory Medicine BMIRDS . 1/20/23

Graph Convolutional Neural Networks for Histologic Classification of Pancreatic Cancer

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Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder
Journal of Medical Internet Research BMIRDS . 1/10/23 Journal of Medical Internet Research BMIRDS . 1/10/23

Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder

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BIOMEDICAL DATA SCIENCE DEPARTMENT | GEISEL SCHOOL OF MEDICINE | DARTMOUTH COLLEGE
CENTER FOR PRECISION HEALTH AND ARTIFICIAL INTELLIGENCE (CPHAI)