Mohammad Mehdi Farhangi

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Topics

Active Contour Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

J. McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi
DICaugment: A Python Package for 3D Medical Imaging Augmentation. J. Open Source Softw. 9 (96) (2024)
Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. CoRR (2023)
Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. MICCAI (3) (2023)
Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis (2022)
Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI (2020)
Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini
Lung Nodule Malignancy Classification Based ON NLSTx Data. ISBI (2020)
Wiem Safta, Mohammad Mehdi Farhangi, Benjamin Veasey, Amir A. Amini, Hichem Frigui
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. ISBI (2019)
Jung won Cha, Mohammad Mehdi Farhangi, Neal Dunlap, Amir A. Amini
Volumetric analysis of respiratory gated whole lung and liver CT data with motion-constrained graph cuts segmentation. EMBC (2017)
Mohammad Mehdi Farhangi, Hichem Frigui, Albert Seow, Amir A. Amini
3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS). IEEE Trans. Medical Imaging 36 (11) (2017)
Jung won Cha, Mohammad Mehdi Farhangi, Neal Dunlap, Amir A. Amini
4D lung tumor segmentation via shape prior and motion cues. EMBC (2016)
Mohammad Mehdi Farhangi, Hichem Frigui, Robert Bert, Amir A. Amini
Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation. EMBC (2016)
Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy
Informative visual words construction to improve bag of words image representation. IET Image Process. 8 (5) (2014)
Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy
Improvement the Bag of Words Image Representation Using Spatial Information. ACITY (2) (2012)