Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Richard K. G. Do"'
Autor:
Amber L. Simpson, Jacob Peoples, John M. Creasy, Gabor Fichtinger, Natalie Gangai, Krishna N. Keshavamurthy, Andras Lasso, Jinru Shia, Michael I. D’Angelica, Richard K. G. Do
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract The liver is a common site for the development of metastases in colorectal cancer. Treatment selection for patients with colorectal liver metastases (CRLM) is difficult; although hepatic resection will cure a minority of CRLM patients, recur
Externí odkaz:
https://doaj.org/article/66787c5a671444f1b50f026ed59bcde6
Autor:
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier-Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Here, the authors present the results of a biomedical image segmentation challenge, showing that a method capable of performing well o
Externí odkaz:
https://doaj.org/article/b2b75489b22a48efa4cd6eef2bea9d67
Autor:
Travis L. Williams, Lily V. Saadat, Mithat Gonen, Alice Wei, Richard K. G. Do, Amber L. Simpson
Publikováno v:
Computer Assisted Surgery, Vol 26, Iss 1, Pp 85-96 (2021)
Surgery is a curative treatment option for many patients with malignant tumors. Increased attention has focused on the combination of surgery with chemotherapy, as multimodality treatment has been associated with promising results in certain cancer t
Externí odkaz:
https://doaj.org/article/f55a5227e64e42489be57a0a61fdeaab
Autor:
Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana Zulkernine, Richard K. G. Do, Amber L. Simpson
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
The development of digital cancer twins relies on the capture of high-resolution representations of individual cancer patients throughout the course of their treatment. Our research aims to improve the detection of metastatic disease over time from s
Externí odkaz:
https://doaj.org/article/249095aae71446e2a9eb26a7168a69bb
Autor:
Nicolas Voizard, Milena Cerny, Anis Assad, Jean-Sébastien Billiard, Damien Olivié, Pierre Perreault, Ania Kielar, Richard K. G. Do, Takeshi Yokoo, Claude B. Sirlin, An Tang
Publikováno v:
Insights into Imaging, Vol 10, Iss 1, Pp 1-22 (2019)
Abstract Computed tomography (CT) and magnetic resonance imaging (MRI) play critical roles for assessing treatment response of hepatocellular carcinoma (HCC) after locoregional therapy. Interpretation is challenging because posttreatment imaging find
Externí odkaz:
https://doaj.org/article/8cac601be8884edd9f65b536d0b310d4
Autor:
Dimitrios Bounias, Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari, Michel Bilello, Benjamin A. Greenberger, Joseph Lombardo, Rhea D. Chitalia, Nariman Jahani, Aimilia Gastounioti, Michelle Hershman, Leonid Roshkovan, Sharyn I. Katz, Bardia Yousefi, Carolyn Lou, Amber L. Simpson, Richard K. G. Do, Russell T. Shinohara, Despina Kontos, Konstantina Nikita, Christos Davatzikos
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7488 (2021)
We seek the development and evaluation of a fast, accurate, and consistent method for general-purpose segmentation, based on interactive machine learning (IML). To validate our method, we identified retrospective cohorts of 20 brain, 50 breast, and 5
Externí odkaz:
https://doaj.org/article/d95d5627884f46c28ebdea628a62d1a8
Autor:
Abhishek Midya, Jayasree Chakraborty, Rami Srouji, Raja R. Narayan, Thomas Boerner, Jian Zheng, Linda M. Pak, John M. Creasy, Luz A. Escobar, Kate A. Harrington, Mithat Gönen, Michael I. D'Angelica, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:2456-2464
Autor:
Linda C. Chu, Zhen J. Wang, Avinash Kambadakone, Elizabeth M. Hecht, Jin He, Amol K. Narang, Daniel A. Laheru, Hina Arif-Tiwari, Priya Bhosale, Candice W. Bolan, Olga R. Brook, Abraham F. Bezuidenhout, Richard K. G. Do, Samuel J. Galgano, Ajit H. Goenka, Alexander R. Guimaraes, David M. Hough, Naveen Kulkarni, Ott Le, Lyndon Luk, Lorenzo Mannelli, Michael Rosenthal, Guillermo Sangster, Zarine K. Shah, Erik V. Soloff, Parag P. Tolat, Marc Zins, Elliot K. Fishman, Eric P. Tamm, Atif Zaheer
Publikováno v:
Abdominal Radiology. 48:318-339
Surgical resection is the only potential curative treatment for patients with pancreatic ductal adenocarcinoma (PDAC), but unfortunately most patients recur within 5 years of surgery. This article aims to assess the practice patterns across major aca
Autor:
Victoria Chernyak, Kathryn J. Fowler, Richard K. G. Do, Aya Kamaya, Yuko Kono, An Tang, Donald G. Mitchell, Jeffrey Weinreb, Cynthia S. Santillan, Claude B. Sirlin
Publikováno v:
Radiology. 307
Autor:
Chris Maurino, Theodore S. Lawrence, Neehar D. Parikh, Mishal Mendiratta-Lala, Yilun Sun, Kyle C. Cuneo, Kimberly L. Shampain, Maria Westerhoff, Anum Aslam, Christopher J. Sonnenday, Erica B. Stein, William R. Masch, Katherine E. Maturen, Dawn Owen, Ravi K. Kaza, Richard K. G. Do
Publikováno v:
Int J Radiat Oncol Biol Phys
Our purpose was to evaluate the accuracy of LI-RADS Treatment Response Algorithm (LR-TRA) for assessing the viability of hepatocellular carcinoma (HCC) treated with stereotactic body radiation therapy (SBRT), using explant pathology as the gold stand