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ORCIDMohammad Mehdi Farhangi
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2020 – today
- 2024
[j4]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): 6120 (2024)- 2023
- [c9]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: 442-452 - [i1]Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath:
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models. CoRR abs/2304.03218 (2023) - 2022
- [c8]Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick:
Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis 2022 - 2021
- [j3]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, 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): 3748-3761 (2021) - 2020
- [c7]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: 1870-1874 - [c6]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: 523-531
2010 – 2019
- 2019
- [c5]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: 1220-1224 - 2017
- [j2]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): 2239-2249 (2017) - [c4]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: 3405-3408 - 2016
- [c3]Jung won Cha, Mohammad Mehdi Farhangi, Neal Dunlap, Amir A. Amini:
4D lung tumor segmentation via shape prior and motion cues. EMBC 2016: 1284-1287 - [c2]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: 6449-6452 - 2014
- [j1]Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy:
Informative visual words construction to improve bag of words image representation. IET Image Process. 8(5): 310-318 (2014) - 2012
- [c1]Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy:
Improvement the Bag of Words Image Representation Using Spatial Information. ACITY (2) 2012: 681-690
Coauthor Index
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