John A. Onofrey

Orcid: 0000-0002-9432-0448

According to our database1, John A. Onofrey authored at least 36 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology.
IEEE Trans. Biomed. Eng., March, 2024

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning.
IEEE Trans. Medical Imaging, January, 2024

2023
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT.
Medical Image Anal., August, 2023

Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography.
Medical Image Anal., 2023

Fast Reconstruction for Deep Learning PET Head Motion Correction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cross-Attention for Improved Motion Correction in Brain PET.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
An objective evaluation method for head motion estimation in PET - Motion corrected centroid-of-distribution.
NeuroImage, 2022

Adaptive data-driven motion detection and optimized correction for brain PET.
NeuroImage, 2022

Atlas-Based Semantic Segmentation of Prostate Zones.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Supervised Deep Learning for Head Motion Correction in PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images.
Proceedings of the Information Processing in Medical Imaging, 2021

2019
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning.
IEEE Trans. Medical Imaging, 2019

Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery.
Int. J. Comput. Assist. Radiol. Surg., 2019

A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET.
IEEE Trans. Medical Imaging, 2018

Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Better Feature Matching for Placental Panorama Construction.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

A fetal fMRI specific motion correction algorithm using 2<sup>nd</sup> order edge features.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention.
Medical Image Anal., 2017

2016
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015
Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data.
IEEE Trans. Medical Imaging, 2015

Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.
Proceedings of the Information Processing in Medical Imaging, 2015

A Scalable Algorithm for Structured Kernel Feature Selection.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013
Semi-supervised Learning of Nonrigid Deformations for Image Registration.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Learning Nonrigid Deformations for Constrained Multi-modal Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Fast nonrigid image registration using statistical deformation models learned from richly-annotated data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013


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