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Ronald M Summers

Showing results (81-90 of 377) with videos related to

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Arxiv|March 26, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 25, 2024
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesisYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Radiology|October 10, 2023
Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology ReportsPritam Mukherjee, Benjamin Hou, Ricardo B Lanfredi, et al.
Medical Physics|December 14, 2011
Automated image-based colon cleansing for laxative-free CT colonography computer-aided polyp detectionMarius George Linguraru, Neil Panjwani, Joel G Fletcher, et al.
Academic Radiology|February 22, 2005
Automated seed placement for colon segmentation in computed tomography colonographyGheorghe Iordanescu, Perry J Pickhardt, J Richard Choi, et al.
IEEE Transactions on Medical Imaging|March 10, 2006
Hybrid segmentation of colon filled with air and opacified fluid for CT colonographyMarek Franaszek, Ronald M Summers, Perry J Pickhardt, et al.
IEEE Transactions on Medical Imaging|February 7, 2018
Convolutional Invasion and Expansion Networks for Tumor Growth PredictionLing Zhang, Le Lu, Ronald M Summers, et al.
IEEE Transactions on Medical Imaging|August 17, 2016
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM CouplingKen C L Wong, Ronald M Summers, Electron Kebebew, et al.
Medical Image Analysis|May 13, 2015
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusionKen C L Wong, Ronald M Summers, Electron Kebebew, et al.
Academic Radiology|February 14, 2003
Multiple neural network classification scheme for detection of colonic polyps in CT colonography data setsAnna K Jerebko, James D Malley, Marek Franaszek, et al.
Pageof 38

Showing results (81-90 of 377) with videos related to

Sort By:
Pageof 38
Arxiv|March 26, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 25, 2024
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesisYan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Radiology|October 10, 2023
Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology ReportsPritam Mukherjee, Benjamin Hou, Ricardo B Lanfredi, et al.
Medical Physics|December 14, 2011
Automated image-based colon cleansing for laxative-free CT colonography computer-aided polyp detectionMarius George Linguraru, Neil Panjwani, Joel G Fletcher, et al.
Academic Radiology|February 22, 2005
Automated seed placement for colon segmentation in computed tomography colonographyGheorghe Iordanescu, Perry J Pickhardt, J Richard Choi, et al.
IEEE Transactions on Medical Imaging|March 10, 2006
Hybrid segmentation of colon filled with air and opacified fluid for CT colonographyMarek Franaszek, Ronald M Summers, Perry J Pickhardt, et al.
IEEE Transactions on Medical Imaging|February 7, 2018
Convolutional Invasion and Expansion Networks for Tumor Growth PredictionLing Zhang, Le Lu, Ronald M Summers, et al.
IEEE Transactions on Medical Imaging|August 17, 2016
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM CouplingKen C L Wong, Ronald M Summers, Electron Kebebew, et al.
Medical Image Analysis|May 13, 2015
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusionKen C L Wong, Ronald M Summers, Electron Kebebew, et al.
Academic Radiology|February 14, 2003
Multiple neural network classification scheme for detection of colonic polyps in CT colonography data setsAnna K Jerebko, James D Malley, Marek Franaszek, et al.
Pageof 38