Reza Forghani

13 papers A 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Applications and Challenges of AI in PCB X-ray Inspection: A Comprehensive Study.
ACM J. Emerg. Technol. Comput. Syst.
Antika Roy, Md Mahfuz Al Hasan, Shajib Ghosh, Nitin Varshney, Jake Julia, Reza Forghani, Navid Asadizanjani
2025 J jnl
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
J. Imaging Inform. Medicine
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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline
2025 — conf
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.
MICCAI (4)
Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle B. See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani
2025 J jnl
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.
CoRR
Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle B. See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani
2024 J jnl
Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.
J. Imaging Inform. Medicine
Md Mahfuz Al Hasan, Saba Ghazimoghadam, Padcha Tunlayadechanont, Mohammad Tahsin Mostafiz, Manas Gupta, Antika Roy, Keith Peters, Bruno Hochhegger, Anthony Mancuso, Navid Asadizanjani, Reza Forghani
2024 J jnl
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
CoRR
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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline
2022 J jnl
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.
CoRR
Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani
2022 — conf
Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data.
Bildverarbeitung für die Medizin
Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani
2022 J jnl
Spectral image clustering on dual-energy CT scans using functional regression mixtures.
CoRR
Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev
2021 — conf
A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images.
CAIP (1)
Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao
2021 J jnl
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data.
CoRR
Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani
2002 J jnl
Automatic 'Pipeline' Analysis of 3D MRI Data for Clinical Trials: Application to Multiple Sclerosis.
IEEE Trans. Medical Imaging
Alex P. Zijdenbos, Reza Forghani, Alan C. Evans
1998 A conf
Automatic Quantification of MS Lesions in 3D MRI Brain Data Sets: Validation of INSECT.
MICCAI
Alex P. Zijdenbos, Reza Forghani, Alan C. Evans