Zobrazeno 1 - 10
of 673
pro vyhledávání: '"Steve B Jiang"'
Autor:
Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B Jiang
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025077 (2024)
Our study aims to explore the long-term performance patterns for deep learning (DL) models deployed in clinic and to investigate their efficacy in relation to evolving clinical practices. We conducted a retrospective study simulating the clinical imp
Externí odkaz:
https://doaj.org/article/c92535c3d5444875b45fe41667566894
Autor:
Tsuicheng D Chiu, Tatsuya J Arai, James Campbell Iii, Steve B Jiang, Ralph P Mason, Strahinja Stojadinovic
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0198065 (2018)
Multi-modality image-guided radiotherapy is the standard of care in contemporary cancer management; however, it is not common in preclinical settings due to both hardware and software limitations. Soft tissue lesions, such as orthotopic prostate tumo
Externí odkaz:
https://doaj.org/article/1b136ad632814b52bc4f9f3839c4fe35
Autor:
Yan Liu, Strahinja Stojadinovic, Brian Hrycushko, Zabi Wardak, Steven Lau, Weiguo Lu, Yulong Yan, Steve B Jiang, Xin Zhen, Robert Timmerman, Lucien Nedzi, Xuejun Gu
Publikováno v:
PLoS ONE, Vol 12, Iss 10, p e0185844 (2017)
Accurate and automatic brain metastases target delineation is a key step for efficient and effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a deep learning convolutional neural network (CNN) algorithm for segme
Externí odkaz:
https://doaj.org/article/348da4fdd06546beaed9bc92aa603f59
Publikováno v:
Journal of Artificial Intelligence for Medical Sciences. 2:62-75
The purpose of this study is to develop a deep learning based method that can automatically generate segmentations on cone-beam CT (CBCT) for head and neck online adaptive radiation therapy (ART), where expert-drawn contours in planning CT (pCT) can
Autor:
Mu-Han Lin, Howard E. Morgan, Neil Desai, Raquibul Hannan, Dan Nguyen, Steve B. Jiang, Anjali Balagopal, Aurelie Garant, Maryam Mashayekhi
Publikováno v:
Journal of Artificial Intelligence for Medical Sciences. 2:85-96
Autor:
Young Suk Kwon, Michael Dohopolski, Howard Morgan, Aurelie Garant, David Sher, Asal Rahimi, Nina N. Sanford, Dat T. Vo, Kevin Albuquerque, Kiran Kumar, Robert Timmerman, Steve B. Jiang
Publikováno v:
Practical radiation oncology. 13(1)
Publikováno v:
Med Phys
Purpose Cone-beam computed tomography (CBCT) scanning is used daily or weekly (i.e., on-treatment CBCT) for accurate patient setup in image-guided radiotherapy. However, inaccuracy of CT numbers prevents CBCT from performing advanced tasks such as do
Autor:
Ana M. Barragan-Montero, Nima Hassan Rezaeian, Steve B. Jiang, Sebastiaan Breedveld, Roya Norouzi Kandalan, Mu-Han Lin, Kamesh Namuduri, Dan Nguyen
Publikováno v:
Radiother Oncol
Radiotherapy and Oncology, 153, 228-235. Elsevier Ireland Ltd
Radiotherapy and Oncology, 153, 228-235. Elsevier Ireland Ltd
Purpose This work aims to study the generalizability of a pre-developed deep learning (DL) dose prediction model for volumetric modulated arc therapy (VMAT) for prostate cancer and to adapt the model, via transfer learning with minimal input data, to
Publikováno v:
IEEE J Biomed Health Inform
Objective: accurately classifying the malignancy of lesions detected in a screening scan is critical for reducing false positives. Radiomics holds great potential to differentiate malignant from benign tumors by extracting and analyzing a large numbe
Publikováno v:
Monte Carlo Techniques in Radiation Therapy ISBN: 9781003212485
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80f1fd5d3c28c45dd85d2919ccd57415
https://doi.org/10.1201/9781003212485-18
https://doi.org/10.1201/9781003212485-18