Amber L. Simpson
Orcid: 0000-0002-4387-8417
According to our database1,
Amber L. Simpson
authored at least 62 papers
between 2005 and 2024.
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Bibliography
2024
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.
Vis. Comput. Ind. Biomed. Art, December, 2024
Medical image synthesis via conditional GANs: Application to segmenting brain tumours.
Comput. Biol. Medicine, March, 2024
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
2023
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach.
IEEE J. Biomed. Health Informatics, May, 2023
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
2022
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports.
Frontiers Artif. Intell., 2022
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors.
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
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
Quantification of CT images for the classification of high- and low-risk pancreatic cysts.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A novel method for texture-mapping conoscopic surfaces for minimally invasive image-guided kidney surgery.
Int. J. Comput. Assist. Radiol. Surg., 2016
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases.
Int. J. Comput. Assist. Radiol. Surg., 2016
Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Image guidance improves localization of sonographically occult colorectal liver metastases.
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
Evaluation of Conoscopic Holography for Estimating Tumor Resection Cavities in Model-Based Image-Guided Neurosurgery.
IEEE Trans. Biomed. Eng., 2014
Texture feature analysis for prediction of postoperative liver failure prior to surgery.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Registration of liver images to minimally invasive intraoperative surface and subsurface data.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
2013
Comparison Study of Intraoperative Surface Acquisition Methods for Surgical Navigation.
IEEE Trans. Biomed. Eng., 2013
Integrating Retraction Modeling Into an Atlas-Based Framework for Brain Shift Prediction.
IEEE Trans. Biomed. Eng., 2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Nonrigid liver registration for image-guided surgery using partial surface data: a novel iterative approach.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Phantom-based comparison of the accuracy of point clouds extracted from stereo cameras and laser range scanner.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Sensitivity analysis and automation for intraoperative implementation of the atlas-based method for brain shift correction.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Intraoperative brain tumor resection cavity characterization with conoscopic holography.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
2011
Tracking of Vessels in Intra-Operative Microscope Video Sequences for Cortical Displacement Estimation.
IEEE Trans. Biomed. Eng., 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
The sparse data extrapolation problem: strategies for soft-tissue correction for image-guided liver surgery.
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
2010
PhD thesis, 2010
2007
Proof of Concept of a Simple Computer-Assisted Technique for Correcting Bone Deformities.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005