Mahsa Torkaman

According to our database, Mahsa Torkaman authored at least 6 papers between 2017 and 2025.

Collaborative distances:

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

2025

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning.

Mahsa Torkaman, Skander Jemaa, Jill Fredrickson, Alexandre Fernandez Coimbra, Alex de Crespigny, Richard A. D. Carano

BMC Medical Imaging, December, 2025

2023

Volume Exploration Using Multidimensional Bhattacharyya Flow.

Shreeraj Jadhav, Mahsa Torkaman, Allen R. Tannenbaum, Saad Nadeem, Arie E. Kaufman

IEEE Trans. Vis. Comput. Graph., March, 2023

2021

Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.

Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg, Youngho Seo

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2018

Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach.

Mahsa Torkaman, Romeil Sandhu, Allen R. Tannenbaum

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques.

Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

Sulci segmentation using geometric active contours.

Mahsa Torkaman, Liangjia Zhu, Peter Karasev, Allen R. Tannenbaum

Proceedings of the Medical Imaging 2017: Image Processing, 2017