Saeed Hassanpour
Orcid: 0000-0001-9460-6414
According to our database1,
Saeed Hassanpour
authored at least 57 papers
between 2009 and 2024.
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Bibliography
2024
Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features.
CoRR, 2024
2023
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images.
Comput. Biol. Medicine, May, 2023
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer.
CoRR, 2023
Improving Representation Learning for Histopathologic Images with Cluster Constraints.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations.
CoRR, 2022
CoRR, 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
Comput. Biol. Medicine, 2021
Artif. Intell. Medicine, 2021
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.
J. Biomed. Informatics, 2020
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides.
CoRR, 2020
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts.
CoRR, 2020
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities.
Comput. Biol. Medicine, 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
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., 2019
Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes.
BMC Medical Informatics Decis. Mak., 2019
Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.
J. Biomed. Informatics, 2019
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency.
CoRR, 2019
CoRR, 2019
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network.
CoRR, 2019
Predicting colorectal polyp recurrence using time-to-event analysis of medical records.
CoRR, 2019
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation.
CoRR, 2019
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
CoRR, 2019
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach.
CoRR, 2019
Automated detection of nonmelanoma skin cancer using digital images: a systematic review.
BMC Medical Imaging, 2019
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
Proceedings of the Machine Learning for Health Workshop, 2019
Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.
J. Digit. Imaging, 2018
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.
CoRR, 2018
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.
Comput. Biol. Medicine, 2018
Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records.
Proceedings of the AMIA 2018, 2018
2017
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.
J. Digit. Imaging, 2017
CoRR, 2017
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
J. Digit. Imaging, 2016
Artif. Intell. Medicine, 2016
2014
2013
A semantic-based method for extracting concept definitions from scientific publications: evaluation in the autism phenotype domain.
J. Biomed. Semant., 2013
2012
SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012
2011
Proceedings of the Rule-Based Reasoning, Programming, and Applications, 2011
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011
Proceedings of the 3rd Canadian Semantic Web Symposium (CSWS2011), 2011
2010
Proceedings of the Semantic Web Rules - International Symposium, 2010
Proceedings of the Semantic Web: Research and Applications, 2010
2009
Proceedings of the 5th International Workshop on OWL: Experiences and Directions (OWLED 2009), 2009
Proceedings of the 3rd International RuleML-2009 Challenge, 2009
Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules.
Proceedings of the Rule Interchange and Applications, International Symposium, 2009