David J. Foran

Rutgers, The State University of New Jersey — United States

Computer Science · Physical Sciences

35h-index4.5kcitations151works1.32yr avg
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Research Topics

AI in cancer detection(54), Radiomics and Machine Learning in Medical Imaging(23), Cell Image Analysis Techniques(23), Image Retrieval and Classification Techniques(19), Medical Image Segmentation Techniques(15)

Publications151 total

A study on the performance of U-Net modifications in retroperitoneal tumor segmentation
2025
A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation
arXiv (Cornell University)·2025Open Access
Environment scan of generative AI infrastructure for clinical and translational science
npj Health Systems·2025· 7 citedOpen Access
Lipoprotein(a) regulates vascular redox state and inflammatory response in patients with coronary artery disease
European Heart Journal·2024
The novel role of complement 3 in Wnt5a-mediated vascular smooth muscle cell calcification
European Heart Journal·2024Open Access
Prognostic value of myocardial redox signalling: a machine learning multi-omics approach
European Heart Journal·2024
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
arXiv (Cornell University)·2024· 2 citedOpen Access
BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis
Lecture notes in computer science·2024
An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing
Cancer Informatics·2024· 3 citedOpen Access
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis
The Journal of Machine Learning for Biomedical Imaging·2023· 2 cited
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis
arXiv (Cornell University)·2023Open Access
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
arXiv (Cornell University)·2022· 2 citedOpen Access
Kyle Rittenhouse and the Shared Meme Networks of the Armed American Far-Right: An Analysis of the Content Creation Formula, right-wing Injection of Politics, and Normalization of Violence
Terrorism and Political Violence·2022· 10 cited
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Lecture notes in computer science·2022· 2 cited
Liver disease classification from ultrasound using multi-scale CNN
International Journal of Computer Assisted Radiology and Surgery·2021· 62 cited
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images
arXiv (Cornell University)·2021· 7 citedOpen Access
Issue Information
Journal of Forensic Sciences·2021Open Access
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network
International Journal of Computer Assisted Radiology and Surgery·2021· 68 citedOpen Access
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images
Lecture notes in computer science·2021· 2 citedOpen Access
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Lecture notes in computer science·2021Open Access
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Frequent Co-authors

Wenjin Chen(17), Lin Yang(10), Xin Qi(8), Peter Meer(8), Lauri Goodell(7), Tahsin Kurç(6), Joel Saltz(6), Michael Reiß(5), Marina Chekmareva(4), Jian Ren(4), Ilker Hacihaliloglu(4), Eric A. Singer(4), Jaydev P. Desai(4), Ashish Sharma(3), Fuyong Xing(3), Frederick H. Silver(3), Jian Ren(3), Dorin Comaniciu(3), Robert S. DiPaola(3), Shridar Ganesan(3)