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Ian Pan

Showing results (21-30 of 46) with videos related to

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American Journal of Public Health|April 21, 2017
Machine Learning for Social Services: A Study of Prenatal Case Management in IllinoisIan Pan, Laura B Nolan, Rashida R Brown, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|September 1, 2021
Deep Learning: An Update for RadiologistsPhillip M Cheng, Emmanuel Montagnon, Rikiya Yamashita, et al.
The Analyst|November 21, 2015
Direct-growth carbon nanotubes on 3D structural microelectrodes for electrophysiological recordingAlice Ian Pan, Min-Hsuan Lin, Hui-Wen Chung, et al.
Medical Physics|July 30, 2021
SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammogramsXiaoyuan Guo, W Charles O'Neill, Brianna Vey, et al.
Journal of Digital Imaging|November 2, 2021
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI ApplicationsThomas Yi, Ian Pan, Scott Collins, et al.
Journal of Neurotrauma|November 16, 2020
Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume Is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of Computed Tomography Imaging Data from the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III TrialOwen P Leary, Lisa H Merck, Sharon D Yeatts, et al.
Patterns (New York, N.Y.)|September 18, 2023
Evaluating progress in automatic chest X-ray radiology report generationFeiyang Yu, Mark Endo, Rayan Krishnan, et al.
European Radiology|October 14, 2020
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imagingRobin Wang, Yeyu Cai, Iris K Lee, et al.
European Radiology|April 26, 2021
Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imagingRobin Wang, Yeyu Cai, Iris K Lee, et al.
Ebiomedicine|November 24, 2020
Deep learning-based classification of primary bone tumors on radiographs: A preliminary studyYu He, Ian Pan, Bingting Bao, et al.
Pageof 5

Showing results (21-30 of 46) with videos related to

Sort By:
Pageof 5
American Journal of Public Health|April 21, 2017
Machine Learning for Social Services: A Study of Prenatal Case Management in IllinoisIan Pan, Laura B Nolan, Rashida R Brown, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|September 1, 2021
Deep Learning: An Update for RadiologistsPhillip M Cheng, Emmanuel Montagnon, Rikiya Yamashita, et al.
The Analyst|November 21, 2015
Direct-growth carbon nanotubes on 3D structural microelectrodes for electrophysiological recordingAlice Ian Pan, Min-Hsuan Lin, Hui-Wen Chung, et al.
Medical Physics|July 30, 2021
SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammogramsXiaoyuan Guo, W Charles O'Neill, Brianna Vey, et al.
Journal of Digital Imaging|November 2, 2021
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI ApplicationsThomas Yi, Ian Pan, Scott Collins, et al.
Journal of Neurotrauma|November 16, 2020
Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume Is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of Computed Tomography Imaging Data from the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III TrialOwen P Leary, Lisa H Merck, Sharon D Yeatts, et al.
Patterns (New York, N.Y.)|September 18, 2023
Evaluating progress in automatic chest X-ray radiology report generationFeiyang Yu, Mark Endo, Rayan Krishnan, et al.
European Radiology|October 14, 2020
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imagingRobin Wang, Yeyu Cai, Iris K Lee, et al.
European Radiology|April 26, 2021
Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imagingRobin Wang, Yeyu Cai, Iris K Lee, et al.
Ebiomedicine|November 24, 2020
Deep learning-based classification of primary bone tumors on radiographs: A preliminary studyYu He, Ian Pan, Bingting Bao, et al.
Pageof 5