J. Onofrey

发表

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.

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).

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.

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.

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.

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.

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

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

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..

Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation

J. Xin, Jiazhen Zhang, Nanning Zheng, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

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

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

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

Aging-Dependent Loss of Connectivity in Alzheimer’s Model Mice with Rescue by mGluR5 Modulator

X. Papademetris, Bandhan Mukherjee, F. Mandino, 2024, bioRxiv.

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.

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.

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.

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.

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

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

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

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

Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models

Lawrence H. Staib, J. Onofrey, Jiayang Zhong, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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..

LiverHccSeg: A publicly available multiphasic MRI dataset with liver and HCC tumor segmentations and inter-rater agreement analysis

Moritz Gross, Steffen Huber, Sandeep Arora, 2023, Data in brief.

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.

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.

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

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