E. Gibson

发表

Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images

Nooshin Ghavami, Yipeng Hu, Ester Bonmati, 2018, Journal of medical imaging.

Designing image segmentation studies: Statistical power, sample size and reference standard quality

Dean C. Barratt, Henkjan J. Huisman, Yipeng Hu, 2017, Medical Image Anal..

Registration of prostate histology images to ex vivo MR images via strand‐shaped fiducials

A. Fenster, J. Chin, A. Ward, 2012, Journal of magnetic resonance imaging : JMRI.

Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion.

A. Fenster, M. Haider, J. Chin, 2016, International journal of radiation oncology, biology, physics.

Toward Prostate Cancer Contouring Guidelines on MRI: Dominant Lesion Gross and Clinical Target Volume Coverage via Accurate Histology Fusion

A. Fenster, J. Chin, D. Cool, 2014 .

SHOULD WE AIM FOR THE CENTRE OF AN MRI PROSTATE LESION? CORRELATION BETWEEN MPMRI AND 3‐DIMENSIONAL 5MM TRANSPERINEAL PROSTATE MAPPING BIOPSIES FROM THE PROMIS TRIAL: MP38‐07

H. Ahmed, S. Punwani, D. Barratt, 2017 .

GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology

C. Granziera, M. Weigel, L. Kappos, 2020, NeuroImage: Clinical.

An Adapted UNet Convolutional Neural Network Architecture for Automatic Prostate MRI Segmentation

N. Ghavami, D. Barratt, Yipeng Hu, 2018 .

Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging

Moussa, E. Gibson, M. Gaed, 2018 .

Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation.

D. Comaniciu, D. Boll, E. Gibson, 2020, European journal of radiology.

Determination of the Association Between T2-weighted MRI and Gleason Sub-pattern: A Proof of Principle Study.

M. Haider, A. Ward, E. Gibson, 2016, Academic radiology.

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions

D. Hawkes, D. Barratt, Yipeng Hu, 2016, MICCAI.

Co-registration Framework for Histology-registration-based Validation of Fused Multimodality Prostate Cancer Imaging

A. Fenster, J. Chin, A. Ward, 2011, 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation.

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

Yipeng Hu, Nooshin Ghavami, Ester Bonmati, 2019, Medical Image Anal..

A tale of two pulse sequences: hard lessons learned in computing K^trans from dynamic contrast enhanced prostate MRI

Eugene Wong, Aaron Fenster, Eli Gibson, 2014 .

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Dean C. Barratt, Henkjan J. Huisman, Nooshin Ghavami, 2018, MICCAI.

Abstract

David E. Breen, Alexis B. Carter, Pinky A. Bautista, 2000, European Neuropsychopharmacology.

Optic Nerve Head Registration Via Hemispherical Surface and Volume Registration

Mirza Faisal Beg, Eli Gibson, Marinko Sarunic, 2010, IEEE Transactions on Biomedical Engineering.

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2018, IEEE Transactions on Medical Imaging.

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks pdf

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, CMMI/RAMBO/SWITCH@MICCAI.

Computer Methods and Programs in Biomedicine NiftyNet: a deep-learning platform for medical imaging

Parashkev Nachev, M. Jorge Cardoso, Sébastien Ourselin, 2022 .

Beam distortion due to gold fiducial markers during salvage high‐intensity focused ultrasound in the prostate

E Gibson, B E Treeby, J Jaros, 2017, Medical physics.

3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb

Aaron D. Ward, Eli Gibson, Yiwen Xu, 2014, Medical Imaging.

The semiotics of medical image Segmentation☆

Terry M. Peters, Eli Gibson, Roy Eagleson, 2018, Medical Image Anal..

Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI

Aaron D. Ward, Stephen E. Pautler, Eli Gibson, 2018, Medical Imaging.

A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis

Aaron D. Ward, Eli Gibson, J. Geoffrey Pickering, 2015, PloS one.

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging

Weifu Chen, Derek W. Cool, Aaron D. Ward, 2018, Comput. Biol. Medicine.

3D fusion of histology to multi-parametric MRI for prostate cancer imaging evaluation and lesion-targeted treatment planning

E. Gibson, 2014 .

A semi-automated method for identifying and measuring myelinated nerve fibers in scanning electron microscope images

Mirza Faisal Beg, Eli Gibson, J. Maxwell Donelan, 2011, Journal of Neuroscience Methods.

On the analysis of cortical surface biomarkers

Eli Gibson, E. Gibson, 2009 .

Investigation of Angiotensin TI / AT 1 Receptors with Carboni 1L-1 59 , 884 : A Selective AT 1 Antagonist

Z. Szabo, E. Gibson, R. Dannals, 2006 .

Weakly-supervised convolutional neural networks for multimodal image registration

Sébastien Ourselin, Marc Modat, Dean C. Barratt, 2018, Medical Image Anal..

The impact of registration accuracy on imaging validation study design: A novel statistical power calculation

Aaron Fenster, Aaron D. Ward, Eli Gibson, 2013, Medical Image Anal..

A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images

Weifu Chen, Huageng Liang, Aaron D. Ward, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Conditional Segmentation in Lieu of Image Registration pdf

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2019, MICCAI.

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Dean C. Barratt, J. Alison Noble, Nooshin Ghavami, 2018, MICCAI.

Label-driven weakly-supervised learning for multimodal deformarle image registration

Marc Modat, Dean C. Barratt, J. Alison Noble, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2015, IEEE Transactions on Medical Imaging.

Prostate: registration of digital histopathologic images to in vivo MR images acquired by using endorectal receive coil.

Aaron Fenster, Cesare Romagnoli, Aaron D Ward, 2012, Radiology.

Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Aaron D. Ward, Eli Gibson, Mena Gaed, 2013, Medical Imaging.

Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks

Thomas J. Re, D. Comaniciu, H. Meyer, 2021, Scientific Reports.

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Youngjin Yoo, Mannudeep K. Kalra, Eli Gibson, 2020, Medical Image Anal..

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment pdf

Dorin Comaniciu, Mannudeep K. Kalra, Eli Gibson, 2019, MICCAI.

A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data

Ali R. Khan, Mirza Faisal Beg, Eli Gibson, 2009, MICCAI.

Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2016, SPIE Medical Imaging.

Accuracy and variability of tumor burden measurement on multi-parametric MRI

Derek W. Cool, Aaron D. Ward, Stephen E. Pautler, 2014, Medical Imaging.

Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate

Aaron Fenster, Aaron D. Ward, Eli Gibson, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels pdf

Dorin Comaniciu, Andreas K. Maier, Eli Gibson, 2019, ArXiv.

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks

Florin C. Ghesu, D. Comaniciu, B. Georgescu, 2020, IEEE Transactions on Medical Imaging.

Evaluating deep learning methods in detecting and segmenting different sizes of brain metastases on 3D post-contrast T1-weighted images

Eli Gibson, James M. Balter, Yue Cao, 2021, Journal of medical imaging.

Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2015, Medical Image Anal..

3D prostate histology image reconstruction: Quantifying the impact of tissue deformation and histology section location

Aaron Fenster, Aaron D. Ward, Eli Gibson, 2013, Journal of pathology informatics.

Deep residual networks for automatic segmentation of laparoscopic videos of the liver

David J. Hawkes, Dean C. Barratt, Eli Gibson, 2017, Medical Imaging.

Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans

Yipeng Hu, Ester Bonmati, Eli Gibson, 2020, Physics in medicine and biology.

Longitudinal study of retinal degeneration in a rat using spectral domain optical coherence tomography.

Marinko V Sarunic, Mirza Faisal Beg, Eli Gibson, 2010, Optics express.

Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis

Huageng Liang, Derek W. Cool, Aaron D. Ward, 2018, Medical physics.

Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.

Aaron Fenster, Derek W Cool, Cesare Romagnoli, 2014, Medical physics.

Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2015, IEEE Transactions on Biomedical Engineering.

3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms

Aaron Fenster, Aaron D. Ward, Cesare Romagnoli, 2013, Medical Imaging.

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation

Thomas J. Re, D. Kondziolka, D. Comaniciu, 2023, Medical Imaging.

Stochastic Sequential Modeling: Toward Improved Prostate Cancer Diagnosis Through Temporal-Ultrasound

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2020, Annals of Biomedical Engineering.

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Dorin Comaniciu, Eli Gibson, Filiz Bunyak, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

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

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2016, SPIE Medical Imaging.

Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization

Purang Abolmaesumi, Hagit Shatkay, Farhad Imani, 2018, IEEE Transactions on Biomedical Engineering.

Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks

Dean C. Barratt, Yipeng Hu, Ester Bonmati, 2017, MICCAI.

A semi-automated method for identifying and measuring myelinated nerve fibers in scanning electron microscope images

Heather L. More, J. Donelan, E. Gibson, 2011, Journal of Neuroscience Methods.