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Scientific Reports
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October 29, 2025
Transformer-based representation learning for robust gene expression modeling and cancer prognosis
Shuai Jiang, Saeed Hassanpour
Academic Radiology
|
November 3, 2015
Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning
Saeed Hassanpour, Curtis P Langlotz
Artificial Intelligence in Medicine
|
October 21, 2015
Information extraction from multi-institutional radiology reports
Saeed Hassanpour, Curtis P Langlotz
Journal of Digital Imaging
|
September 11, 2015
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository
Saeed Hassanpour, Curtis P Langlotz
Journal of Medical Internet Research
|
September 15, 2021
Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes
Benjamin Joseph Ricard, Saeed Hassanpour
Journal of Pathology Informatics
|
July 17, 2023
HistoPerm: A permutation-based view generation approach for improving histopathologic feature representation learning
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
Journal of Digital Imaging
|
January 5, 2017
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing
Saeed Hassanpour, Graham Bay, Curtis P Langlotz
Computers in Biology and Medicine
|
May 15, 2018
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
Naofumi Tomita, Yvonne Y Cheung, Saeed Hassanpour
Scientific Reports
|
August 20, 2021
Predicting prognosis and IDH mutation status for patients with lower-grade gliomas using whole slide images
Shuai Jiang, George J Zanazzi, Saeed Hassanpour
Computers in Biology and Medicine
|
April 9, 2023
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images
Shuai Jiang, Arief A Suriawinata, Saeed Hassanpour
Page
of 8
Search research articles
Search
Showing results (1-10 of 78) with videos related to
Sort By:
Page
of 8
Scientific Reports
|
October 29, 2025
Transformer-based representation learning for robust gene expression modeling and cancer prognosis
Shuai Jiang, Saeed Hassanpour
Academic Radiology
|
November 3, 2015
Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning
Saeed Hassanpour, Curtis P Langlotz
Artificial Intelligence in Medicine
|
October 21, 2015
Information extraction from multi-institutional radiology reports
Saeed Hassanpour, Curtis P Langlotz
Journal of Digital Imaging
|
September 11, 2015
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository
Saeed Hassanpour, Curtis P Langlotz
Journal of Medical Internet Research
|
September 15, 2021
Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes
Benjamin Joseph Ricard, Saeed Hassanpour
Journal of Pathology Informatics
|
July 17, 2023
HistoPerm: A permutation-based view generation approach for improving histopathologic feature representation learning
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
Journal of Digital Imaging
|
January 5, 2017
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing
Saeed Hassanpour, Graham Bay, Curtis P Langlotz
Computers in Biology and Medicine
|
May 15, 2018
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
Naofumi Tomita, Yvonne Y Cheung, Saeed Hassanpour
Scientific Reports
|
August 20, 2021
Predicting prognosis and IDH mutation status for patients with lower-grade gliomas using whole slide images
Shuai Jiang, George J Zanazzi, Saeed Hassanpour
Computers in Biology and Medicine
|
April 9, 2023
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images
Shuai Jiang, Arief A Suriawinata, Saeed Hassanpour
Page
of 8