John A. Onofrey

发表

Better Feature Matching for Placental Panorama Construction

Xenophon Papademetris, Praneeth Sadda, John A. Onofrey, 2018, DATRA/PIPPI@MICCAI.

MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2016, SASHIMI@MICCAI.

Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks

Xenophon Papademetris, Praneeth Sadda, John A. Onofrey, 2018, CVII-STENT/LABELS@MICCAI.

Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery

Xenophon Papademetris, Praneeth Sadda, John A. Onofrey, 2018, International Journal of Computer Assisted Radiology and Surgery.

Deep learning-based denoising for PennPET Explorer data

Margaret E. Daube-Witherspoon, Hui Liu, John A. Onofrey, 2019 .

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization

Dana I. Casetti-Dinescu, Lawrence H. Staib, Xenophon Papademetris, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

A Scalable Algorithm for Structured Kernel Feature Selection

Xiaoning Qian, Xenophon Papademetris, John A. Onofrey, 2015, AISTATS.

Generating Attenuation Map for SPECT-only systems using Generative Adversarial Networks

Luyao Shi, Yi-Hwa Liu, Hui Liu, 2019 .

Learning Nonrigid Deformations for Constrained Multi-modal Image Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, MICCAI.

Learning statistical deformation models for image registration

Xenophon Papademetris, John A. Onofrey, 2013 .

Noise reduction with cross-tracer transfer deep learning for low-dose oncological PET

Yi-Hwa Liu, John A. Onofrey, Hui Liu, 2019 .

Fast nonrigid image registration using statistical deformation models learned from richly-annotated data

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, IEEE Transactions on Medical Imaging.

Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2019, IEEE Transactions on Medical Imaging.

Semi-supervised Learning of Nonrigid Deformations for Image Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, MCV.

A fetal fMRI specific motion correction algorithm using 2nd order edge features

Dustin Scheinost, Xenophon Papademetris, John A. Onofrey, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Learning Non‐rigid Deformations for Robust, Constrained Point‐based Registration in Image‐Guided MR‐TRUS Prostate Intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2017, Medical Image Anal..

Supervised Machine Learning in Oncology: A Clinician's Guide

John A. Onofrey, Julius Chapiro, Nikitha Murali, 2020, Digestive Disease Interventions.

Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, IPMI.

A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning pdf

Luyao Shi, John A. Onofrey, Richard E. Carson, 2019, MICCAI.

Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Evaluation of CT Image Synthesis Methods:From Atlas-based Registration to Deep Learning

Xenophon Papademetris, John A. Onofrey, Sergei Turovets, 2019, 1906.04467.

Deep learning-based attenuation map generation for myocardial perfusion SPECT

Hui Liu, Chi Liu, Yi-Hwa Liu, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images

John A. Onofrey, Daniel H. Pak, Minliang Liu, 2021, IPMI.

TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Einar Heiberg, John A. Onofrey, Dana C. Peters, 2021, MICCAI.

Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET

John A. Onofrey, Yi-Hwa Liu, Chi Liu, 2020, Physics in medicine and biology.

Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging

John A. Onofrey, J. Chapiro, M. Strazzabosco, 2021, PloS one.

Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, NeuroImage: Clinical.

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

John A. Onofrey, Siyuan Dong, Chenyu You, 2022, ArXiv.

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

John A. Onofrey, Siyuan Dong, L. Staib, 2022, ArXiv.

Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine

John A. Onofrey, Yihuan Lu, K. Hirata, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging

John A. Onofrey, Eric Z. Chen, Siyuan Dong, 2022, ArXiv.

An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution

John A. Onofrey, R. Carson, T. Mulnix, 2022, NeuroImage.

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

John A. Onofrey, Siyuan Dong, L. Staib, 2022, DeCaF/FAIR@MICCAI.

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

John A. Onofrey, Siyuan Dong, Chenyu You, 2022, MICCAI.

Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning.

John A. Onofrey, P. Humphrey, T. Zeevi, 2022, JCO clinical cancer informatics.

Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study.

John A. Onofrey, D. Scheinost, J. M. Netto, 2020, Journal of pediatric urology.

MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

John A. Onofrey, D. Atar, D. Peters, 2021, Journal of Cardiovascular Magnetic Resonance.

Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.

Daniel Rueckert, Dimitris N. Metaxas, Xenophon Papademetris, 2020, Annual review of biomedical engineering.

Noninvasive In Vivo Quantification of Adeno-Associated Virus Serotype 9-Mediated Expression of the Sodium/Iodide Symporter Under Hindlimb Ischemia and Neuraminidase Desialylation in Skeletal Muscle Using Single-Photon Emission Computed Tomography/Computed Tomography.

John A. Onofrey, X. Papademetris, B. A. French, 2019, Circulation. Cardiovascular imaging.

An investigation of quantitative accuracy for deep learning based denoising in oncological PET

Tianyu Ma, Luyao Shi, Chi Liu, 2019, Physics in medicine and biology.

Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET

Chung Chan, Chi Liu, Richard E. Carson, 2018, IEEE Transactions on Medical Imaging.

Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data

Tim Mulnix, Richard E Carson, Vladimir Panin, 2018, The Journal of Nuclear Medicine.

MRI Biomarkers for Prediction of Outcome After Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessment of LI-RADS and Radiomic Features.

John A. Onofrey, L. Staib, G. Gunabushanam, 2022, Journal of vascular and interventional radiology : JVIR.

Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET

Tim Mulnix, Richard E Carson, Michael E Casey, 2019, Physics in medicine and biology.

Generation of Synthetic PET Images of Synaptic Density and Amyloid from 18 F-FDG Images Using Deep Learning.

John A. Onofrey, Ryan S. O'Dell, R. Carson, 2021, Medical Physics (Lancaster).

DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT

John A. Onofrey, J. Duncan, A. Sinusas, 2023, Medical Image Anal..

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

John A. Onofrey, A. Sinusas, Chi Liu, 2022, MICCAI.

Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging

John A. Onofrey, Qiong Liu, Chi Liu, 2023, IEEE Transactions on Radiation and Plasma Medical Sciences.

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

John A. Onofrey, J. Chapiro, Mohamed G. Elbanan, 2023, Scientific reports.

Doubling of Decipher Biopsy Genomic Score Is Related to Disease Reclassification on Subsequent Surveillance Biopsy but Not Adverse Features on Radical Prostatectomy

John A. Onofrey, P. Humphrey, J. Weinreb, 2021, Case reports in urology.

Real-time computerized video enhancement for minimally invasive fetoscopic surgery.

Xenophon Papademetris, Praneeth Sadda, John A. Onofrey, 2018, Laparoscopic, endoscopic, and robotic surgery.

An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution

John A. Onofrey, R. Carson, T. Mulnix, 2022, NeuroImage.

Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects

John A. Onofrey, S. Janse, M. Stacy, 2023, European Radiology.

Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application

John A. Onofrey, Yihuan Lu, T. Toyonaga, 2022, Physics in medicine and biology.

Adaptive data-driven motion detection and optimized correction for brain PET

John A. Onofrey, R. Carson, T. Mulnix, 2022, NeuroImage.

Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography

John A. Onofrey, J. Duncan, A. Sinusas, 2022, Medical Image Anal..

Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics.

John A. Onofrey, M. Ronot, Moritz Gross, 2024, European radiology.