Saeed Amal

About

Saeed Amal is an Assistant Research Professor at Northeastern University. Amal was a Postdoctoral Fellow at the Stanford University School of Medicine where he focused on the applications of artificial intelligence to improve healthcare, specifically care for cardiovascular disease. He received his PhD and MSc degree in Computer Science from the University of Haifa and a BSc degree in Computer Science from Technion. Amal has vast leadership experience in applied research from the tech industry and is a former VP of an R&D data medical startup in the field of cardiology. His research interests are the healthcare applications for artificial intelligence, including deep learning and machine learning, natural language processing (NLP), image processing, and recommender systems.

Work

Northeastern University

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Assistant Research Professor

US

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Stanford University

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Postdoctoral Fellow

US

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Publications

Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams

working-paper

Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma

working-paper

Multi-Scale Digital Pathology Patch Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset

working-paper

Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset

working-paper

Gastric Cancer Detection with Ensemble Learning on digital pathology: Use Case of Gastric Cancer on GasHisSDB Dataset

working-paper

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

working-paper

Segmenting Tumor Gleason Pattern using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset

working-paper

Visualizing Treatment Pathways Leading to Amputation and Non Amputation Using Sankey Diagrams, Sunburst Plots, and Icicle Plots in Peripheral Artery Disease [PAD] patients

working-paper

Deep Learning Models for Automated Classification of Seborrheic Keratosis: A Comprehensive Literature Review and Comparative Study

working-paper

Development and Validation of Machine Learning Models for Adverse Events after Cardiac Surgery

preprint

Confounder Analysis and Visualization Treatment Pathways Associated to Amputation in patients with Diabetes Using Sankey Diagrams: Enhancing Explainability (Preprint)

preprint

Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset

Applied Biosciences

journal-article

Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset

Applied Biosciences

journal-article

Deep Learning Models for Automated Classification of Seborrheic Keratosis: A Comprehensive Literature Review and Comparative Study

preprint

Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Explainability

Biomedicines

journal-article

Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams

preprint

Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Explainability

Biomedicines

journal-article

Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset

preprint

Multi-Scale Digital Pathology Patch Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset

preprint

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

preprint

Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome

Viruses

journal-article

Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome

Viruses

journal-article

Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma

preprint

Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset

Diagnostics

journal-article

Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset

Diagnostics

journal-article

Gastric Cancer Detection with Ensemble Learning on digital pathology: Use Case of Gastric Cancer on GasHisSDB Dataset

preprint

Segmenting Tumor Gleason Pattern using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset

preprint

Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset

Bioengineering

journal-article

Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset

Bioengineering

journal-article

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

Cancers

journal-article

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

Cancers

journal-article

Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights from Usability Study with Pathologists

Cancers

journal-article

Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

JMIR Cardio

journal-article

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer 

conference-paper

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

International Conference on Intelligent User Interfaces, Proceedings IUI

conference-paper

Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights from Usability Study with Pathologists

Cancers

journal-article

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

medRxiv

other

Predicting Adverse Events in the Cardiothoracic Surgery Intensive Care Unit Using Machine Learning: Results and Challenges

preprint

Predicting Adverse Events in the Cardiothoracic Surgery Intensive Care Unit Using Machine Learning: Results and Challenges

medRxiv

other

Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders (Preprint)

preprint

Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records

Scientific Reports

journal-article

Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care

Frontiers in Cardiovascular Medicine

journal-article

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

preprint

Person entity profiling framework: Identifying, integrating and visualizing online freely available entity-related information

arXiv

other

Personalized Multifaceted Visualization of Scholars Profiles

ACM International Conference Proceeding Series

conference-paper

Visualizing Personalized Multifaceted ad-hoc Social Network

UMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

conference-paper

Demonstrating personalized multifaceted visualization of people recommendation to conference participants

International Conference on Intelligent User Interfaces, Proceedings IUI

conference-paper

Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations

International Conference on Intelligent User Interfaces, Proceedings IUI

conference-paper

Relational social recommendation: Application to the academic domain

Expert Systems with Applications

journal-article

Harvesting entity-relation social networks from the web: Potential & challenges

UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

conference-paper