William R. Jarnagin
Orcid: 0000-0002-1635-5768
According to our database1,
William R. Jarnagin
authored at least 26 papers
between 2011 and 2023.
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Bibliography
2023
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach.
IEEE J. Biomed. Health Informatics, May, 2023
Comparison study of intraoperative surface acquisition methods for surgical navigation.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Comparison study of sparse data-driven soft tissue registration: preliminary results from the image-to-physical liver registration sparse data challenge.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Registration uncertainty in deforming organs: a novel approach for ensuring navigational confidence during image-guided procedures.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
2020
Intraoperative Correction of Liver Deformation Using Sparse Surface and Vascular Features via Linearized Iterative Boundary Reconstruction.
IEEE Trans. Medical Imaging, 2020
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary.
CoRR, 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework.
IEEE Trans. Medical Imaging, 2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Emulation of the laparoscopic environment for image-guided liver surgery via an abdominal phantom system with anatomical ligamenture.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
On the nature of data collection for soft-tissue image-to-physical organ registration: a noise characterization study.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2015
Image guidance improves localization of sonographically occult colorectal liver metastases.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Method for evaluation of predictive models of microwave ablation via post-procedural clinical imaging.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: preliminary method and results.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
2014
A Mechanics-Based Nonrigid Registration Method for Liver Surgery Using Sparse Intraoperative Data.
IEEE Trans. Medical Imaging, 2014
Texture feature analysis for prediction of postoperative liver failure prior to surgery.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2011
The sparse data extrapolation problem: strategies for soft-tissue correction for image-guided liver surgery.
Proceedings of the Medical Imaging 2011: Visualization, 2011