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Amber L Simpson

Showing results (21-30 of 91) with videos related to

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Computer Assisted Surgery (Abingdon, England)|December 13, 2021
Radiomics in surgical oncology: applications and challengesTravis L Williams, Lily V Saadat, Mithat Gonen, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|September 20, 2012
Preliminary study of a novel method for conveying corrected image volumes in surgical navigationAmber L Simpson, Prashanth Dumpuri, Janet E Ondrake, et al.
IEEE Journal of Translational Engineering in Health and Medicine|April 28, 2015
Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical ModelsKay Sun, Thomas S Pheiffer, Amber L Simpson, et al.
JCO Clinical Cancer Informatics|January 30, 2026
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type ClassificationRamtin Mojtahedi, Mohammad Hamghalam, Jacob J Peoples, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|October 15, 2013
Computation and visualization of uncertainty in surgical navigationAmber L Simpson, Burton Ma, Edward M Vasarhelyi, et al.
Academic Radiology|April 13, 2024
Use of Response Permutation to Measure an Imaging Dataset's Susceptibility to Overfitting by Selected Standard Analysis PipelinesJayasree Chakraborty, Abhishek Midya, Brenda F Kurland, et al.
Physics and Imaging in Radiation Oncology|September 23, 2022
Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapyRicky Hu, Ishita Chen, Jacob Peoples, et al.
International Journal of Computer Assisted Radiology and Surgery|October 19, 2015
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 casesMichael I Miga, Kay Sun, Ishita Chen, et al.
Medical Physics|May 22, 2026
Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastasesMamatha Venugopal, Sathish Ramani, Jacob J Peoples, et al.
Abdominal Radiology (New York)|March 2, 2018
Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics?Emily A Aherne, Linda M Pak, Debra A Goldman, et al.
Pageof 10

Showing results (21-30 of 91) with videos related to

Sort By:
Pageof 10
Computer Assisted Surgery (Abingdon, England)|December 13, 2021
Radiomics in surgical oncology: applications and challengesTravis L Williams, Lily V Saadat, Mithat Gonen, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|September 20, 2012
Preliminary study of a novel method for conveying corrected image volumes in surgical navigationAmber L Simpson, Prashanth Dumpuri, Janet E Ondrake, et al.
IEEE Journal of Translational Engineering in Health and Medicine|April 28, 2015
Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical ModelsKay Sun, Thomas S Pheiffer, Amber L Simpson, et al.
JCO Clinical Cancer Informatics|January 30, 2026
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type ClassificationRamtin Mojtahedi, Mohammad Hamghalam, Jacob J Peoples, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|October 15, 2013
Computation and visualization of uncertainty in surgical navigationAmber L Simpson, Burton Ma, Edward M Vasarhelyi, et al.
Academic Radiology|April 13, 2024
Use of Response Permutation to Measure an Imaging Dataset's Susceptibility to Overfitting by Selected Standard Analysis PipelinesJayasree Chakraborty, Abhishek Midya, Brenda F Kurland, et al.
Physics and Imaging in Radiation Oncology|September 23, 2022
Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapyRicky Hu, Ishita Chen, Jacob Peoples, et al.
International Journal of Computer Assisted Radiology and Surgery|October 19, 2015
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 casesMichael I Miga, Kay Sun, Ishita Chen, et al.
Medical Physics|May 22, 2026
Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastasesMamatha Venugopal, Sathish Ramani, Jacob J Peoples, et al.
Abdominal Radiology (New York)|March 2, 2018
Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics?Emily A Aherne, Linda M Pak, Debra A Goldman, et al.
Pageof 10