An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors

Autor: Rahimzadeh H., Fathi Kazerooni A., Deevband M. R., Saligheh Rad H.

Publikováno v: Journal of Biomedical Physics and Engineering, Vol 9, Iss 1, Pp 69-80 (2019)

Introduction: Automatic and accurate arterial input function (AIF) selection has an essential role for quantification of cerebral perfusion hemodynamic parameters using dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI). The purpo

Externí odkaz: https://doaj.org/article/ab1a323394b14d4890d926079f0ef015

Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach

Autor: Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, Hamed Akbari, Fanyang Yu, Chiharu Sako, Elizabeth Mamourian, Russell T. Shinohara, Constantinos Koumenis, Stephen J. Bagley, Jennifer J. D. Morrissette, Zev A. Binder, Steven Brem, Suyash Mohan, Robert A. Lustig, Donald M. O’Rourke, Tapan Ganguly, Spyridon Bakas, MacLean P. Nasrallah, Christos Davatzikos

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract Glioblastoma is a highly heterogeneous disease, with variations observed at both phenotypical and molecular levels. Personalized therapies would be facilitated by non-invasive in vivo approaches for characterizing this heterogeneity. In this

Externí odkaz: https://doaj.org/article/f5997dcf88784ed0a9eb262aa340f854

Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach.

Autor: Guo, Jun^1,2,3 (AUTHOR), Fathi Kazerooni, Anahita^1,2,4,5 (AUTHOR), Toorens, Erik⁶ (AUTHOR), Akbari, Hamed⁷ (AUTHOR), Yu, Fanyang^1,2 (AUTHOR), Sako, Chiharu^1,2,3 (AUTHOR), Mamourian, Elizabeth^1,3 (AUTHOR), Shinohara, Russell T.^1,8 (AUTHOR), Koumenis, Constantinos⁹ (AUTHOR), Bagley, Stephen J.^10,11 (AUTHOR), Morrissette, Jennifer J. D.¹² (AUTHOR), Binder, Zev A.^5,11 (AUTHOR), Brem, Steven^5,11 (AUTHOR), Mohan, Suyash^1,2,3 (AUTHOR), Lustig, Robert A.^9,10 (AUTHOR), O'Rourke, Donald M.^5,11 (AUTHOR), Ganguly, Tapan^6,10 (AUTHOR), Bakas, Spyridon^1,2,3,12,13 (AUTHOR), Nasrallah, MacLean P.^1,2,12 (AUTHOR), Davatzikos, Christos^1,2,3 (AUTHOR) Christos.Davatzikos@pennmedicine.upenn.edu

Publikováno v: Scientific Reports. 3/4/2024, Vol. 14 Issue 1, p1-11. 11p.

Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate

Autor: Soheila Koopaei, Anahita Fathi Kazerooni, Mahyar Ghafoori, Mohammadreza Alviri, Fakhereh Pashaei, Hamidreza Saligheh Rad

Publikováno v: Journal of Biomedical Physics and Engineering, Vol 13, Iss 3, Pp 251-260 (2023)

Background: The most common cancer (non-cutaneous) malignancy among men is prostate cancer. Management of prostate cancer, including staging and treatment, playing an important role in decreasing mortality rates. Among all current diagnostic tools, m

Externí odkaz: https://doaj.org/article/1804bd530a4242c3a47103e223880ca2

Beam with Adaptive Divergence Angle in Free-Space Optical Communications for High-Speed Trains

Autor: Kaymak, Yagiz, Fathi-Kazerooni, Sina, Rojas-Cessa, Roberto, Feng, JiangHua, Ansari, Nirwan, Zhou, MengChu, Zhang, Tairan

In this paper, we propose an adaptive beam that adapts its divergence angle according to the receiver aperture diameter and the communication distance to improve the received power and ease the alignment between the communicating optical transceivers

Externí odkaz: http://arxiv.org/abs/1812.11233