Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (RuleML, 2009)

A Rule Management and Elicitation Tool for SWRL Rule Bases. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (RuleML Challenge, 2009)

Axiomé: A Tool for the Elicitation and Management of SWRL Rules. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (OWLED, 2009)

A Software Tool for Visualizing, Managing and Eliciting SWRL Rules. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (ESWC (2), 2010)

Visualizing Logical Dependencies in SWRL Rule Bases. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (RuleML, 2010)

Ontology based Text Mining of Concept Definitions in Biomedical Literature. - Saeed Hassanpour; Amar K. Das (CSWS, 2011)

An intelligent interface for rule elicitation. - Saeed Hassanpour; Amar K. Das (K-CAP, 2011)

A Framework for the Automatic Extraction of Rules from Online Text. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (RuleML Europe, 2011)

SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors. - João Paulo Orlando; Adriano Rivolli; Saeed Hassanpour; Martin J. O'Connor; Amar K. Das; Dilvan A. Moreira (ICEIS (2), 2012)

A semantic-based method for extracting concept definitions from scientific publications: evaluation in the autism phenotype domain. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (J. Biomed. Semant., 2013)

Clustering rule bases using ontology-based similarity measures. - Saeed Hassanpour; Martin J. O'Connor; Amar K. Das (J. Web Semant., 2014)

Information extraction from multi-institutional radiology reports. - Saeed Hassanpour; Curtis P. Langlotz (Artif. Intell. Medicine, 2016)

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. - Saeed Hassanpour; Curtis P. Langlotz (J. Digit. Imaging, 2016)

Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. - Bruno Korbar; Andrea M. Olofson; Allen P. Miraflor; Catherine M. Nicka; Matthew A. Suriawinata; Lorenzo Torresani; Arief A. Suriawinata; Saeed Hassanpour (CVPR Workshops, 2017)

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. - Bruno Korbar; Andrea M. Olofson; Allen P. Miraflor; Katherine M. Nicka; Matthew A. Suriawinata; Lorenzo Torresani; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2017)

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. - Saeed Hassanpour; Graham Bay; Curtis P. Langlotz (J. Digit. Imaging, 2017)

Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. - Lia Harrington; Arief A. Suriawinata; Todd A. MacKenzie; John H. Higgins; Saeed Hassanpour (AMIA, 2018)

Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. - Lia Harrington; Arief A. Suriawinata; Todd A. MacKenzie; Saeed Hassanpour (BIBM, 2018)

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. - Naofumi Tomita; Yvonne Y. Cheung; Saeed Hassanpour (Comput. Biol. Medicine, 2018)

Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. - Naofumi Tomita; Behnaz Abdollahi; Jason Wei; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2018)

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. - 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; et al. (J. Digit. Imaging, 2018)

Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians. - Xing Meng; Michael V. Heinz; Craig H. Ganoe; Ryan T. Sieberg; Yvonne Y. Cheung; Saeed Hassanpour (MedInfo, 2019)

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Jason Wei; Saeed Hassanpour (ML4H@NeurIPS, 2019)

Automated detection of nonmelanoma skin cancer using digital images: a systematic review. - Arthur Marka; Joi Carter; Ermal Toto; Saeed Hassanpour (BMC Medical Imaging, 2019)

Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. - Jason W. Wei; Jerry W. Wei; Christopher R. Jackson; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2019)

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. - Jason W. Wei; Laura J. Tafe; Yevgeniy A. Linnik; Louis J. Vaickus; Naofumi Tomita; Saeed Hassanpour (CoRR, 2019)

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. - Jason W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Naofumi Tomita; Behnaz Abdollahi; Adam S. Kim; Dale C. Snover; John A. Baron; Elizabeth L. Barry; et al. (CoRR, 2019)

Predicting colorectal polyp recurrence using time-to-event analysis of medical records. - Lia X. Harrington; Jason W. Wei; Arief A. Suriawinata; Todd A. MacKenzie; Saeed Hassanpour (CoRR, 2019)

Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. - Naofumi Tomita; Steven Jiang; Matthew E. Maeder; Saeed Hassanpour (CoRR, 2019)

Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities. - Manu Goyal; Thomas Knackstedt; Shaofeng Yan; Amanda Oakley; Saeed Hassanpour (CoRR, 2019)

Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency. - Xing Meng; Craig H. Ganoe; Ryan T. Sieberg; Yvonne Y. Cheung; Saeid Hassanpour (CoRR, 2019)

Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication. - Xing Meng; Craig H. Ganoe; Ryan T. Sieberg; Yvonne Y. Cheung; Saeed Hassanpour (J. Biomed. Informatics, 2019)

Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes. - Ellen L. Palmer; Saeed Hassanpour; John H. Higgins; Jennifer A. Doherty; Tracy Onega (BMC Medical Informatics Decis. Mak., 2019)

Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source. - Ellen L. Palmer; John H. Higgins; Saeed Hassanpour; James Sargent; Christina M. Robinson; Jennifer A. Doherty; Tracy Onega (BMC Medical Informatics Decis. Mak., 2019)

Difficulty Translation in Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Xiaoying Liu 002; Bing Ren; Mustafa Nasir-Moin; Naofumi Tomita; Jason Wei; Saeed Hassanpour (AIME, 2020)

Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. - Manu Goyal; Moi Hoon Yap; Saeed Hassanpour (BIOINFORMATICS, 2020)

Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. - Manu Goyal; Thomas Knackstedt; Shaofeng Yan; Saeed Hassanpour (Comput. Biol. Medicine, 2020)

Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts. - Steven Jiang; Weiyi Wu; Naofumi Tomita; Craig H. Ganoe; Saeed Hassanpour (CoRR, 2020)

A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection. - Manu Goyal; Saeed Hassanpour (CoRR, 2020)

Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides. - Mengdan Zhu; Bing Ren; Ryland Richards; Matthew A. Suriawinata; Naofumi Tomita; Saeed Hassanpour (CoRR, 2020)

Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts. - Steven Jiang; Weiyi Wu; Naofumi Tomita; Craig H. Ganoe; Saeed Hassanpour (J. Biomed. Informatics, 2020)

Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. - Manu Goyal; Judith Austin-Strohbehn; Sean J. Sun; Karen Rodriguez; Jessica M. Sin; Yvonne Y. Cheung; Saeed Hassanpour (AIME, 2021)

A Petri Dish for Histopathology Image Analysis. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Naofumi Tomita; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2021)

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Mustafa Nasir-Moin; Naofumi Tomita; Lorenzo Torresani; Jason Wei; et al. (WACV, 2021)

Resolution-based distillation for efficient histology image classification. - Joseph DiPalma; Arief A. Suriawinata; Laura J. Tafe; Lorenzo Torresani; Saeed Hassanpour (Artif. Intell. Medicine, 2021)

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. - Moi Hoon Yap; Ryo Hachiuma; Azadeh Alavi; Raphael Brüngel; Bill Cassidy; Manu Goyal; Hongtao Zhu; Johannes Rückert; Moshe Olshansky; Xiao Huang; Hideo Saito 001; Saeed Hassanpour; et al. (Comput. Biol. Medicine, 2021)

Calibrating Histopathology Image Classifiers Using Label Smoothing. - Jerry W. Wei; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2022)

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. - Yuansheng Xie; Soroush Vosoughi; Saeed Hassanpour (ICPR, 2022)

Interpretation Quality Score for Measuring the Quality of interpretability methods. - Yuansheng Xie; Soroush Vosoughi; Saeed Hassanpour (CoRR, 2022)

HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. - Joseph DiPalma; Lorenzo Torresani; Saeed Hassanpour (CoRR, 2022)

Improving Syntactic Probing Correctness and Robustness with Control Tasks. - Weicheng Ma; Brian Wang; Hefan Zhang; Lili Wang; Rolando Coto-Solano; Saeed Hassanpour; Soroush Vosoughi (ACL (2), 2023)

Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. - Sean Xie; Soroush Vosoughi; Saeed Hassanpour (EMNLP (Findings), 2023)

Improving Representation Learning for Histopathologic Images with Cluster Constraints. - Weiyi Wu; Chongyang Gao; Joseph DiPalma; Soroush Vosoughi; Saeed Hassanpour (ICCV, 2023)

Masked Pre-Training of Transformers for Histology Image Analysis. - Shuai Jiang; Liesbeth Hondelink; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2023)

Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer. - Manu Goyal; Laura J. Tafe; James X. Feng; Kristen E. Muller; Liesbeth Hondelink; Jessica L. Bentz; Saeed Hassanpour (CoRR, 2023)

MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. - Shuai Jiang; Arief A. Suriawinata; Saeed Hassanpour (Comput. Biol. Medicine, 2023)

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. - Yuxin Wang 006; Ivory Yang; Saeed Hassanpour; Soroush Vosoughi (ACL (1), 2024)

Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. - Sean Xie; Saeed Hassanpour; Soroush Vosoughi (NAACL-HLT (Findings), 2024)

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features. - 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 (CoRR, 2024)

A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer. - Jack McMahon; Naofumi Tomita; Elizabeth S. Tatishev; Adrienne A. Workman; Cristina R. Costales; Niaz Banaei; Isabella W. Martin; Saeed Hassanpour (CoRR, 2024)

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records. - Shuai Jiang; Christina M. Robinson; Joseph Anderson; William Hisey; Lynn Butterly; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2024)

Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology. - Amit Das; Tanmay Shukla; Naofumi Tomita; Ryland Richards; Laura Vidis; Bing Ren; Saeed Hassanpour (CoRR, 2024)

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Language. - Yuxin Wang 006; Xiaomeng Zhu 004; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2024)

A Benchmark for Long-Form Medical Question Answering. - Pedram Hosseini; Jessica M. Sin; Bing Ren; Bryceton G. Thomas; Elnaz Nouri; Ali Farahanchi; Saeed Hassanpour (CoRR, 2024)

Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice. - Ellison B. Weiner; Irene Dankwa-Mullan; William A. Nelson; Saeed Hassanpour (CoRR, 2024)

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences. - Yuxin Wang 006; Xiaomeng Zhu 004; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi (ICLR, 2025)

Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication. - Weicheng Ma; Hefan Zhang; Ivory Yang; Shiyu Ji; Joice Chen; Farnoosh Hashemi; Shubham Mohole; Ethan Gearey; Michael Macy; Saeed Hassanpour; Soroush Vosoughi (NAACL (Long Papers), 2025)

Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication. - Weicheng Ma; Hefan Zhang; Ivory Yang; Shiyu Ji; Joice Chen; Farnoosh Hashemi; Shubham Mohole; Ethan Gearey; Michael Macy; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2025)

Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning. - Peiying Hua; Andrea M. Olofson; Faraz Farhadi; Liesbeth Hondelink; Gregory Tsongalis; Konstantin Dragnev; Dagmar Hoegemann Savellano; Arief A. Suriawinata; Laura J. Tafe; Saeed Hassanpour (CoRR, 2025)

Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis. - Shuai Jiang; Saeed Hassanpour (CoRR, 2025)

Probing Association Biases in LLM Moderation Over-Sensitivity. - Yuxin Wang 006; Botao Yu; Ivory Yang; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2025)

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images. - Amit Das; Naofumi Tomita; Kyle J. Syme; Weijie Ma; Paige O'Connor; Kristin N. Corbett; Bing Ren; Xiaoying Liu 002; Saeed Hassanpour (CoRR, 2025)