Zobrazeno 1 - 10
of 902
pro vyhledávání: '"Raman, Steven"'
Autor:
Hung, Alex Ling Yu, Zheng, Haoxin, Zhao, Kai, Du, Xiaoxi, Pang, Kaifeng, Miao, Qi, Raman, Steven S., Terzopoulos, Demetri, Sung, Kyunghyun
A large portion of volumetric medical data, especially magnetic resonance imaging (MRI) data, is anisotropic, as the through-plane resolution is typically much lower than the in-plane resolution. Both 3D and purely 2D deep learning-based segmentation
Externí odkaz:
http://arxiv.org/abs/2311.04942
Autor:
Rajagopal, Abhejit, Redekop, Ekaterina, Kemisetti, Anil, Kulkarni, Rushi, Raman, Steven, Magudia, Kirti, Arnold, Corey W., Larson, Peder E. Z.
Early prostate cancer detection and staging from MRI are extremely challenging tasks for both radiologists and deep learning algorithms, but the potential to learn from large and diverse datasets remains a promising avenue to increase their generaliz
Externí odkaz:
http://arxiv.org/abs/2206.05617
Autor:
Hung, Alex Ling Yu, Zheng, Haoxin, Miao, Qi, Raman, Steven S., Terzopoulos, Demetri, Sung, Kyunghyun
Prostate cancer is the second leading cause of cancer death among men in the United States. The diagnosis of prostate MRI often relies on the accurate prostate zonal segmentation. However, state-of-the-art automatic segmentation methods often fail to
Externí odkaz:
http://arxiv.org/abs/2203.15163
Autor:
Kim, Daniel H., Suh, Robert D., Chiang, Jason, Abtin, Fereidoun, Genshaft, Scott J., Hao, Frank, Lu, David S.K., Raman, Steven S.
Publikováno v:
In Journal of Vascular and Interventional Radiology November 2024 35(11):1644-1654
Autor:
Sparks, Hiro, Rink, Johann S., Ramakrishnan, Abinaya, Sung, Kyunghun, Ni, Jason, Lu, David S.K., Raman, Steven S., Lee, Edward W., Chiang, Jason
Publikováno v:
In Journal of Vascular and Interventional Radiology August 2024 35(8):1227-1233
Autor:
Keshavarz, Pedram, Bagherieh, Sara, Nabipoorashrafi, Seyed Ali, Chalian, Hamid, Rahsepar, Amir Ali, Kim, Grace Hyun J., Hassani, Cameron, Raman, Steven S., Bedayat, Arash
Publikováno v:
In Diagnostic and Interventional Imaging July-August 2024 105(7-8):251-265
Autor:
Lai, Tiffany S., Francoeur, Alex, Manrriquez, Erica, Venkat, Puja, Chang, Albert, Douek, Michael, Bahrami, Simin, Raman, Steven S., Memarzadeh, Sanaz
Publikováno v:
In Brachytherapy May-June 2024 23(3):266-273
Autor:
Chiang, Jason, Raman, Steven S., Ramakrishnan, Abinaya, Keshavarz, Pedram, Sayre, James W., McWilliams, Justin P., Finn, Richard S., Agopian, Vatche G., Choi, Gina, Lu, David S.K.
Publikováno v:
In Journal of Vascular and Interventional Radiology September 2024
Autor:
Liu, Yongkai, Yang, Guang, Mirak, Sohrab Afshari, Hosseiny, Melina, Azadikhah, Afshin, Zhong, Xinran, Reiter, Robert E., Lee, Yeejin, Raman, Steven, Sung, Kyunghyun
Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independent testing data in comparison with inter-reader consistency between tw
Externí odkaz:
http://arxiv.org/abs/1911.00127
Recent advances in medical imaging techniques have led to significant improvements in the management of prostate cancer (PCa). In particular, multi-parametric MRI (mp-MRI) continues to gain clinical acceptance as the preferred imaging technique for n
Externí odkaz:
http://arxiv.org/abs/1910.02185