Saeed Hassanpour

Saeed Hassanpour

Dartmouth College

H-index: 32

North America-United States

About Saeed Hassanpour

Saeed Hassanpour, With an exceptional h-index of 32 and a recent h-index of 30 (since 2020), a distinguished researcher at Dartmouth College, specializes in the field of Biomedical Informatics, Machine Learning, AI for Healthcare, Medical Imaging, Digital Pathology.

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

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features

Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study

Response to commentary on “Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms”

Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis

AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats

Improving Syntactic Probing Correctness and Robustness with Control Tasks

Improving Representation Learning for Histopathologic Images with Cluster Constraints

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

Saeed Hassanpour Information

University

Position

Associate Professor at

Citations(all)

3409

Citations(since 2020)

3144

Cited By

1109

hIndex(all)

32

hIndex(since 2020)

30

i10Index(all)

55

i10Index(since 2020)

51

Email

University Profile Page

Dartmouth College

Google Scholar

View Google Scholar Profile

Saeed Hassanpour Skills & Research Interests

Biomedical Informatics

Machine Learning

AI for Healthcare

Medical Imaging

Digital Pathology

Top articles of Saeed Hassanpour

Title

Journal

Author(s)

Publication Date

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features

arXiv preprint arXiv:2401.15805

Manu Goyal

Jonathan D Marotti

Adrienne A Workman

Elaine P Kuhn

Graham M Tooker

...

2024/1/28

Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study

Medical Education Online

Soo Hwan Park

Roshini Pinto-Powell

Thomas Thesen

Alexander Lindqwister

Joshua Levy

...

2024/12/31

Response to commentary on “Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms”

British Journal of Radiology

Qingyuan Song

Roberta M diFlorio-Alexander

Ryan T Sieberg

Dennis Dwan

William Boyce

...

2024/2/1

Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis

The American Journal of Pathology

Qingyuan Song

Kristen E Muller

Liesbeth M Hondelink

Margaret R Karagas

Saeed Hassanpour

2024/2/1

AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats

Frontiers in Medical Technology

Alexander L Lindqwister

Saeed Hassanpour

Joshua Levy

Jessica M Sin

2023/1/4

Improving Syntactic Probing Correctness and Robustness with Control Tasks

Weicheng Ma

Brian Wang

Hefan Zhang

Lili Wang

Rolando Coto-Solano

...

2023/7

Improving Representation Learning for Histopathologic Images with Cluster Constraints

Weiyi Wu

Chongyang Gao

Joseph DiPalma

Soroush Vosoughi

Saeed Hassanpour

2023

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

Journal of Medical Internet Research

Cynthia I Campbell

Ching-Hua Chen

Sara R Adams

Asma Asyyed

Ninad R Athale

...

2023/6/13

Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer

arXiv preprint arXiv:2312.08479

Manu Goyal

Laura J Tafe

James X Feng

Kristen E Muller

Liesbeth Hondelink

...

2023/12/13

Histoperm: A permutation-based view generation approach for improving histopathologic feature representation learning

Journal of Pathology Informatics

Joseph DiPalma

Lorenzo Torresani

Saeed Hassanpour

2023/1/1

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

Computers in Biology and Medicine

Shuai Jiang

Arief A Suriawinata

Saeed Hassanpour

2023/5/1

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

Sean Xie

Soroush Vosoughi

Saeed Hassanpour

2023/11/3

Masked pre-training of transformers for histology image analysis

arXiv preprint arXiv:2304.07434

Shuai Jiang

Liesbeth Hondelink

Arief A Suriawinata

Saeed Hassanpour

2023/4/14

Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms

The British Journal of Radiology

Qingyuan Song

Roberta M diFlorio-Alexander

Ryan T Sieberg

Dennis Dwan

William Boyce

...

2023/11/1

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

Graph convolutional neural networks for histologic classification of pancreatic cancer

Archives of pathology & laboratory medicine

Weiyi Wu

Xiaoying Liu

Robert B Hamilton

Arief A Suriawinata

Saeed Hassanpour

2023/11/1

Bladder cancer prognosis using deep neural networks and histopathology images

Journal of Pathology Informatics

Wayner Barrios

Behnaz Abdollahi

Manu Goyal

Qingyuan Song

Matthew Suriawinata

...

2022/1/1

Abstract P4-07-19: Quantifying epithelial-mesenchymal tumor heterogeneity for prediction of patient prognosis based on EMT state

Cancer Research

Meredith S Brown

Behnaz Abdollahi

Nevena Ognjenovic

Kristen E Muller

Saeed Hassanpour

...

2022/2/15

Quantifying epithelial-mesenchymal heterogeneity and EMT scoring in tumor samples via tyramide signal amplification (TSA)

Meredith S Brown

Behnaz Abdollahi

Saeed Hassanpour

Diwakar R Pattabiraman

2022/1/1

Calibrating Histopathology Image Classifiers using Label Smoothing

2022 Conference on Artificial Intelligence in Medicine (AIME)

Jerry Wei

Lorenzo Torresani

Jason Wei

Saeed Hassanpour

2022/1/28

See List of Professors in Saeed Hassanpour University(Dartmouth College)

Co-Authors

H-index: 66
Curtis P. Langlotz

Curtis P. Langlotz

Stanford University

H-index: 60
Lorenzo Torresani

Lorenzo Torresani

Dartmouth College

H-index: 31
Martin J O'Connor

Martin J O'Connor

Stanford University

H-index: 26
Soroush Vosoughi

Soroush Vosoughi

Massachusetts Institute of Technology

H-index: 17
Manu Goyal

Manu Goyal

University of Texas Southwestern Medical Center

H-index: 12
Naofumi Tomita

Naofumi Tomita

Dartmouth College

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