Automatic Quantification of MS Lesions in 3D MRI Brain Data Sets: Validation of INSECT. - Alex P. Zijdenbos; Reza Forghani; Alan C. Evans (MICCAI, 1998)

Automatic 'Pipeline' Analysis of 3D MRI Data for Clinical Trials: Application to Multiple Sclerosis. - Alex P. Zijdenbos; Reza Forghani; Alan C. Evans (IEEE Trans. Medical Imaging, 2002)

A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images. - Farhad Maleki; Kevin Cote; Keyhan Najafian; Katie L. Ovens; Yan Miao; Rita Zakarian; Caroline Reinhold; Reza Forghani; Peter Savadjiev; Zu-hua Gao (CAIP (1), 2021)

Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data. - Andreas K. Maier; Seung Hee Yang; Farhad Maleki; Nikesh Muthukrishnan; Reza Forghani (CoRR, 2021)

Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data. - Andreas K. Maier; Seung Hee Yang; Farhad Maleki; Nikesh Muthukrishnan; Reza Forghani (Bildverarbeitung für die Medizin, 2022)

Spectral image clustering on dual-energy CT scans using functional regression mixtures. - Segolene Brivet; Faicel Chamroukhi; Mark Coates; Reza Forghani; Peter Savadjiev (CoRR, 2022)

Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls. - Farhad Maleki; Katie L. Ovens; Rajiv Gupta; Caroline Reinhold; Alan Spatz; Reza Forghani (CoRR, 2022)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. - Farhad Maleki; Linda Moy; Reza Forghani; Tapotosh Ghosh; Katie L. Ovens; Steve Langer; Pouria Rouzrokh; Bardia Khosravi; Ali Ganjizadeh; Daniel I. Warren; Roxana Daneshjou; Mana Moassefi; et al. (CoRR, 2024)

Applications and Challenges of AI in PCB X-ray Inspection: A Comprehensive Study. - Antika Roy; Md Mahfuz Al Hasan; Shajib Ghosh; Nitin Varshney; Jake Julia; Reza Forghani; Navid Asadizanjani (ACM J. Emerg. Technol. Comput. Syst., 2025)

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation. - Md Mahfuz Al Hasan; Mahdi Zaman; Abdul Jawad; Alberto Santamaría-Pang; Ho Hin Lee; Ivan Tarapov; Kyle See; Md Shah Imran; Antika Roy; Yaser Pourmohammadi Fallah; Navid Asadizanjani; Reza Forghani (CoRR, 2025)