Eli Gibson

Orcid: 0000-0001-9207-7280

According to our database1, Eli Gibson authored at least 59 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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, San Diego, 2023

2021
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.
IEEE Trans. Medical Imaging, 2021

Quantifying and leveraging predictive uncertainty for medical image assessment.
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

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels.
CoRR, 2019

Conditional Segmentation in Lieu of Image Registration.
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

Class-Aware Adversarial Lung Nodule Synthesis In CT Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks.
IEEE Trans. Medical Imaging, 2018

Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018

Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Anal., 2018

The semiotics of medical image Segmentation.
Medical Image Anal., 2018

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018

NiftyNet: a deep-learning platform for medical imaging.
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

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning.
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

NiftyNet: a deep-learning platform for medical imaging.
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
How does prostate biopsy guidance error impact pathologic cancer risk assessment?
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Impact of region contouring variability on image-based focal therapy evaluation.
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, 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

Accuracy and variability of tumor burden measurement on multi-parametric MRI.
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
Optic Nerve Head Registration Via Hemispherical Surface and Volume Registration.
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


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