Mohammad Mehdi Farhangi

According to our database, Mohammad Mehdi Farhangi authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DICaugment: A Python Package for 3D Medical Imaging Augmentation.

J. McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi

J. Open Source Softw., April, 2024

2023

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.

Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Deciphering deep ensembles for lung nodule analysis.

Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

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, 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

IEEE Trans. Medical Imaging, 2021

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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

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

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

4D lung tumor segmentation via shape prior and motion cues.

Jung won Cha, Mohammad Mehdi Farhangi, Neal Dunlap, Amir A. Amini

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

Informative visual words construction to improve bag of words image representation.

Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy

IET Image Process., 2014

2012

Improvement the Bag of Words Image Representation Using Spatial Information.

Mohammad Mehdi Farhangi, Mohsen Soryani, Mahmood Fathy

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012