Improvement the Bag of Words Image Representation Using Spatial Information. - Mohammad Mehdi Farhangi; Mohsen Soryani; Mahmood Fathy (ACITY (2), 2012)

Informative visual words construction to improve bag of words image representation. - Mohammad Mehdi Farhangi; Mohsen Soryani; Mahmood Fathy (IET Image Process., 2014)

4D lung tumor segmentation via shape prior and motion cues. - Jung won Cha; Mohammad Mehdi Farhangi; Neal Dunlap; Amir A. Amini (EMBC, 2016)

Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation. - Mohammad Mehdi Farhangi; Hichem Frigui; Robert Bert; Amir A. Amini (EMBC, 2016)

Volumetric analysis of respiratory gated whole lung and liver CT data with motion-constrained graph cuts segmentation. - Jung won Cha; Mohammad Mehdi Farhangi; Neal Dunlap; Amir A. Amini (EMBC, 2017)

3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS). - Mohammad Mehdi Farhangi; Hichem Frigui; Albert Seow; Amir A. Amini (IEEE Trans. Medical Imaging, 2017)

Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. - Wiem Safta; Mohammad Mehdi Farhangi; Benjamin Veasey; Amir A. Amini; Hichem Frigui (ISBI, 2019)

Lung Nodule Malignancy Classification Based ON NLSTx Data. - Benjamin Veasey; Mohammad Mehdi Farhangi; Hichem Frigui; Justin Broadhead; Michael Dahle; Aria Pezeshk; Albert Seow; Amir A. Amini (ISBI, 2020)

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. - Zahra Ghanian; Andreu Badal; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick; Berkman Sahiner (MLMI@MICCAI, 2020)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Deciphering deep ensembles for lung nodule analysis. - Ravi K. Samala; Berkman Sahiner; Gene Pennello; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick (Computer-Aided Diagnosis, 2022)

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. - Mitchell Pavlak; Nathan Drenkow; Nicholas Petrick; Mohammad Mehdi Farhangi; Mathias Unberath (MICCAI (3), 2023)

DICaugment: A Python Package for 3D Medical Imaging Augmentation. - J. McIntosh; Qian Cao; Berkman Sahiner; Nicholas Petrick; Mohammad Mehdi Farhangi (J. Open Source Softw., 2024)