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Saeed Hassanpour
Saeid Hassanpour
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2020 – today
- 2024
- [c26]Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi:
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. ACL (1) 2024: 3747-3764 - [c25]Sean Xie, Saeed Hassanpour, Soroush Vosoughi:
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. NAACL-HLT (Findings) 2024: 4451-4464 - [i31]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 abs/2401.15805 (2024) - [i30]Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi:
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. CoRR abs/2405.16584 (2024) - [i29]Jack McMahon, Naofumi Tomita, Elizabeth S. Tatishev, Adrienne A. Workman, Cristina R. Costales, Niaz Banaei, Isabella W. Martin, Saeed Hassanpour:
A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer. CoRR abs/2409.15546 (2024) - 2023
- [j16]Shuai Jiang
, Arief A. Suriawinata, Saeed Hassanpour:
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. Comput. Biol. Medicine 158: 106883 (2023) - [c24]Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano
Improving Syntactic Probing Correctness and Robustness with Control Tasks. ACL (2) 2023: 402-415 - [c23]Sean Xie, Soroush Vosoughi, Saeed Hassanpour:
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. EMNLP (Findings) 2023: 3964-3979 - [c22]Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour:
Improving Representation Learning for Histopathologic Images with Cluster Constraints. ICCV 2023: 21347-21357 - [i28]Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour:
Masked Pre-Training of Transformers for Histology Image Analysis. CoRR abs/2304.07434 (2023) - [i27]Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour:
Improving Representation Learning for Histopathologic Images with Cluster Constraints. CoRR abs/2310.12334 (2023) - [i26]Sean Xie, Soroush Vosoughi, Saeed Hassanpour:
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. CoRR abs/2311.01732 (2023) - [i25]Manu Goyal, Laura J. Tafe
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer. CoRR abs/2312.08479 (2023) - 2022
- [c21]Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME 2022: 273-282 - [c20]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. ICPR 2022: 5067-5074 - [i24]Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR abs/2201.11866 (2022) - [i23]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. CoRR abs/2203.16464 (2022) - [i22]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Interpretation Quality Score for Measuring the Quality of interpretability methods. CoRR abs/2205.12254 (2022) - [i21]Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour:
HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR abs/2209.06185 (2022) - 2021
- [j15]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe
Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine 119: 102136 (2021) - [j14]Moi Hoon Yap
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135: 104596 (2021) - [c19]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: 11-24 - [c18]Manu Goyal
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. AIME 2021: 307-317 - [c17]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: 2472-2482 - [i20]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour:
Resolution-Based Distillation for Efficient Histology Image Classification. CoRR abs/2101.04170 (2021) - [i19]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 abs/2101.12355 (2021) - [i18]Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour:
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images. CoRR abs/2110.11558 (2021) - 2020
- [j13]Manu Goyal, Thomas Knackstedt, Shaofeng Yan
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. Comput. Biol. Medicine 127: 104065 (2020) - [j12]Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe
Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts. J. Biomed. Informatics 111: 103581 (2020) - [c16]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: 238-248 - [c15]Manu Goyal, Moi Hoon Yap, Saeed Hassanpour:
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. BIOINFORMATICS 2020: 290-295 - [i17]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 abs/2004.06555 (2020) - [i16]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 abs/2004.12535 (2020) - [i15]Manu Goyal, Saeed Hassanpour:
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection. CoRR abs/2007.07922 (2020) - [i14]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 abs/2009.13698 (2020) - [i13]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 abs/2010.03341 (2020) - [i12]Manu Goyal
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. CoRR abs/2010.08872 (2020) - [i11]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 abs/2010.16380 (2020)
2010 – 2019
- 2019
- [j11]Arthur Marka
Automated detection of nonmelanoma skin cancer using digital images: a systematic review. BMC Medical Imaging 19(1): 21:1-21:12 (2019) - [j10]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) - [j9]Ellen L. Palmer
Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes. BMC Medical Informatics Decis. Mak. 19(1): 141:1-141:10 (2019) - [j8]Ellen L. Palmer
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): 143:1-143:9 (2019) - [c14]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: 1546-1547 - [c13]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: 10-24 - [i10]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 abs/1901.11447 (2019) - [i9]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 abs/1901.11489 (2019) - [i8]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 abs/1909.12959 (2019) - [i7]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 abs/1910.05827 (2019) - [i6]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 abs/1911.07368 (2019) - [i5]Naofumi Tomita, Steven Jiang, Matthew E. Maeder, Saeed Hassanpour:
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. CoRR abs/1911.11209 (2019) - [i4]Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Amanda Oakley, Saeed Hassanpour:
Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities. CoRR abs/1911.11872 (2019) - [i3]Xing Meng, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeid Hassanpour:
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency. CoRR abs/1912.02703 (2019) - 2018
- [j7]Naofumi Tomita, Yvonne Y. Cheung, Saeed Hassanpour:
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. Comput. Biol. Medicine 98: 8-15 (2018) - [j6]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): 84-90 (2018) - [c12]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 - [c11]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: 993-998 - [i2]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 abs/1811.08513 (2018) - 2017
- [j5]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): 314-322 (2017) - [c10]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: 821-827 - [i1]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 abs/1703.01550 (2017) - 2016
- [j4]Saeed Hassanpour, Curtis P. Langlotz:
Information extraction from multi-institutional radiology reports. Artif. Intell. Medicine 66: 29-39 (2016) - [j3]Saeed Hassanpour, Curtis P. Langlotz:
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. J. Digit. Imaging 29(1): 59-62 (2016) - 2014
- [j2]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
Clustering rule bases using ontology-based similarity measures. J. Web Semant. 25: 1-8 (2014) - 2013
- [j1]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: 14 (2013) - 2012
- [c9]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: 258-263 - 2011
- [c8]Saeed Hassanpour, Amar K. Das:
Ontology based Text Mining of Concept Definitions in Biomedical Literature. CSWS 2011: 40-45 - [c7]Saeed Hassanpour, Amar K. Das:
An intelligent interface for rule elicitation. K-CAP 2011: 171-172 - [c6]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
A Framework for the Automatic Extraction of Rules from Online Text. RuleML Europe 2011: 266-280 - 2010
- [c5]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
A Software Tool for Visualizing, Managing and Eliciting SWRL Rules. ESWC (2) 2010: 381-385 - [c4]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
Visualizing Logical Dependencies in SWRL Rule Bases. RuleML 2010: 259-272
2000 – 2009
- 2009
- [c3]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules. RuleML 2009: 246-261 - [c2]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
A Rule Management and Elicitation Tool for SWRL Rule Bases. RuleML Challenge 2009 - [c1]Saeed Hassanpour, Martin J. O'Connor, Amar K. Das:
Axiomé: A Tool for the Elicitation and Management of SWRL Rules. OWLED 2009
Coauthor Index
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last updated on 2024-10-22 20:11 CEST by the dblp team
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