John A. Onofrey
Orcid: 0000-0002-9432-0448
According to our database1,
John A. Onofrey
authored at least 40 papers
between 2013 and 2025.
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Bibliography
2025
A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging.
Medical Image Anal., 2025
2024
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology.
IEEE Trans. Biomed. Eng., March, 2024
IEEE Trans. Medical Imaging, January, 2024
Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography.
CoRR, 2024
Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Symmetric Consistency with Cross-Domain Mixup for Cross-Modality Cardiac Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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
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
NeuroImage, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
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
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
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
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