Eli Gibson
Orcid: 0000-0001-9207-7280
According to our database1,
Eli Gibson
authored at least 59 papers
between 2009 and 2023.
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Bibliography
2023
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2021
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.
IEEE Trans. Medical Imaging, 2021
Medical Image Anal., 2021
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.
CoRR, 2020
2019
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.
Medical Image Anal., 2019
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
IEEE Trans. Medical Imaging, 2018
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018
Medical Image Anal., 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018
Comput. Methods Programs Biomed., 2018
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging.
Comput. Biol. Medicine, 2018
Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
Int. J. Comput. Assist. Radiol. Surg., 2018
Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Adversarial Deformation Regularization for Training Image Registration Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Label-driven weakly-supervised learning for multimodal deformarle image registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Designing image segmentation studies: Statistical power, sample size and reference standard quality.
Medical Image Anal., 2017
Label-driven weakly-supervised learning for multimodal deformable image registration.
CoRR, 2017
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Deep residual networks for automatic segmentation of laparoscopic videos of the liver.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Prostate lesion detection and localization based on locality alignment discriminant analysis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.
IEEE Trans. Medical Imaging, 2015
Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2015
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.
Medical Image Anal., 2015
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation.
Medical Image Anal., 2013
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Registration of <i>In Vivo</i> Prostate Magnetic Resonance Images to Digital Histopathology Images.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
2009
A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009