Saeed Hassanpour

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 59

Top Topics

Image Classification

Natural Language Processing

Top Venues

Comput. Biol. Medicine

J. Digit. Imaging

Publications

Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. CoRR (2024)
Manu Goyal, Jonathan D. Marotti, Adrienne A. Workman, Elaine P. Kuhn, Graham M. Tooker, Seth K. Ramin, Mary D. Chamberlin, Roberta M. diFlorio-Alexander, Saeed Hassanpour
Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features. CoRR (2024)
Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. ACL (1) (2024)
Manu Goyal, Laura J. Tafe, James X. Feng, Kristen E. Muller, Liesbeth Hondelink, Jessica L. Bentz, Saeed Hassanpour
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer. CoRR (2023)
Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour
Improving Representation Learning for Histopathologic Images with Cluster Constraints. CoRR (2023)
Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour, Soroush Vosoughi
Improving Syntactic Probing Correctness and Robustness with Control Tasks. ACL (2) (2023)
Sean Xie, Soroush Vosoughi, Saeed Hassanpour
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. EMNLP (Findings) (2023)
Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. Comput. Biol. Medicine 158 (2023)
Sean Xie, Soroush Vosoughi, Saeed Hassanpour
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. CoRR (2023)
Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour
Improving Representation Learning for Histopathologic Images with Cluster Constraints. ICCV (2023)
Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour
Masked Pre-Training of Transformers for Histology Image Analysis. CoRR (2023)
Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR (2022)
Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. ICPR (2022)
Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. CoRR (2022)
Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME (2022)
Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
Interpretation Quality Score for Measuring the Quality of interpretability methods. CoRR (2022)
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR (2022)
Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images. CoRR (2021)
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV (2021)
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
A Petri Dish for Histopathology Image Analysis. CoRR (2021)
Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine 119 (2021)
Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
Resolution-Based Distillation for Efficient Histology Image Classification. CoRR (2021)
Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. AIME (2021)
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
A Petri Dish for Histopathology Image Analysis. AIME (2021)
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135 (2021)
Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR (2020)
Manu Goyal, Saeed Hassanpour
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection. CoRR (2020)
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR (2020)
Mengdan Zhu, Bing Ren, Ryland Richards, Matthew A. Suriawinata, Naofumi Tomita, Saeed Hassanpour
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides. CoRR (2020)
Manu Goyal, Moi Hoon Yap, Saeed Hassanpour
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. BIOINFORMATICS (2020)
Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. CoRR (2020)
Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
Difficulty Translation in Histopathology Images. CoRR (2020)
Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour
Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts. J. Biomed. Informatics 111 (2020)
Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts. CoRR (2020)
Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
Difficulty Translation in Histopathology Images. AIME (2020)
Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Saeed Hassanpour
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. Comput. Biol. Medicine 127 (2020)
Ellen L. Palmer, Saeed Hassanpour, John H. Higgins, Jennifer A. Doherty, Tracy Onega
Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Arthur Marka, Joi Carter, Ermal Toto, Saeed Hassanpour
Automated detection of nonmelanoma skin cancer using digital images: a systematic review. BMC Medical Imaging 19 (1) (2019)
Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
Predicting colorectal polyp recurrence using time-to-event analysis of medical records. CoRR (2019)
Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. CoRR (2019)
Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. ML4H@NeurIPS (2019)
Xing Meng, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeed Hassanpour
Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication. J. Biomed. Informatics 93 (2019)
Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Amanda Oakley, Saeed Hassanpour
Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities. CoRR (2019)
Naofumi Tomita, Steven Jiang, Matthew E. Maeder, Saeed Hassanpour
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. CoRR (2019)
Xing Meng, Michael V. Heinz, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeed Hassanpour
Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians. MedInfo (2019)
Ellen L. Palmer, John H. Higgins, Saeed Hassanpour, James Sargent, Christina M. Robinson, Jennifer A. Doherty, Tracy Onega
Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. CoRR (2019)
Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik, Louis J. Vaickus, Naofumi Tomita, Saeed Hassanpour
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. CoRR (2019)
Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. CoRR (2019)
Naofumi Tomita, Yvonne Y. Cheung, Saeed Hassanpour
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. Comput. Biol. Medicine 98 (2018)
Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. BIBM (2018)
Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, John H. Higgins, Saeed Hassanpour
Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. AMIA (2018)
Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. CoRR (2018)
Hannu T. Huhdanpaa, W. Katherine Tan, Sean D. Rundell, Pradeep Suri, Falgun H. Chokshi, Bryan A. Comstock, Patrick J. Heagerty, Kathryn T. James, Andrew L. Avins, Srdjan S. Nedeljkovic, David R. Nerenz, David F. Kallmes, Patrick H. Luetmer, Karen J. Sherman, Nancy L. Organ, Brent Griffith, Curtis P. Langlotz, David Carrell, Saeed Hassanpour, Jeffrey G. Jarvik
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. J. Digit. Imaging 31 (1) (2018)
Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR (2017)
Saeed Hassanpour, Graham Bay, Curtis P. Langlotz
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. J. Digit. Imaging 30 (3) (2017)
Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops (2017)
Saeed Hassanpour, Curtis P. Langlotz
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. J. Digit. Imaging 29 (1) (2016)
Saeed Hassanpour, Curtis P. Langlotz
Information extraction from multi-institutional radiology reports. Artif. Intell. Medicine 66 (2016)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
Clustering rule bases using ontology-based similarity measures. J. Web Semant. 25 (2014)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
A semantic-based method for extracting concept definitions from scientific publications: evaluation in the autism phenotype domain. J. Biomed. Semant. 4 (2013)
João Paulo Orlando, Adriano Rivolli, Saeed Hassanpour, Martin J. O'Connor, Amar K. Das, Dilvan A. Moreira
SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors. ICEIS (2) (2012)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
A Framework for the Automatic Extraction of Rules from Online Text. RuleML Europe (2011)
Saeed Hassanpour, Amar K. Das
Ontology based Text Mining of Concept Definitions in Biomedical Literature. CSWS (2011)
Saeed Hassanpour, Amar K. Das
An intelligent interface for rule elicitation. K-CAP (2011)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
A Software Tool for Visualizing, Managing and Eliciting SWRL Rules. ESWC (2) (2010)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
Visualizing Logical Dependencies in SWRL Rule Bases. RuleML (2010)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
A Rule Management and Elicitation Tool for SWRL Rule Bases. RuleML Challenge (2009)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules. RuleML (2009)
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
Axiomé: A Tool for the Elicitation and Management of SWRL Rules. OWLED (2009)