John Onofrey, PhD
Assistant Professor of Radiology & Biomedical Imaging and of Urology
Research & Publications
Biography
News
Coauthors
Selected Publications
- Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS. Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annual Review Of Biomedical Engineering 2020, 22:127-153.
- Deep learning-based attenuation map generation for myocardial perfusion SPECT.Shi L, Onofrey JA, Liu H, Liu YH, Liu C. Deep learning-based attenuation map generation for myocardial perfusion SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47:2383-2395.
- Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study.Netto JMB, Scheinost D, Onofrey JA, Franco I. Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study. Journal Of Pediatric Urology 2020, 16:536-542.
- Supervised Machine Learning in Oncology: A Clinician's Guide.Murali N, Kucukkaya A, Petukhova A, Onofrey J, Chapiro J. Supervised Machine Learning in Oncology: A Clinician's Guide. Digestive Disease Interventions 2020, 4:73-81.
- Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery.Sadda P, Imamoglu M, Dombrowski M, Papademetris X, Bahtiyar MO, Onofrey J. Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery. International Journal Of Computer Assisted Radiology And Surgery 2019, 14:227-235.
- Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning.Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Transactions On Medical Imaging 2019, 38:596-607.
- Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET.Lu Y, Gallezot JD, Naganawa M, Ren S, Fontaine K, Wu J, Onofrey JA, Toyonaga T, Boutagy NE, Mulnix T, Panin VY, Casey ME, Carson RE, Liu C. Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET. Physics In Medicine And Biology 2019, 64:065002.
- 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.Boutagy NE, Ravera S, Papademetris X, Onofrey JA, Zhuang ZW, Wu J, Feher A, Stacy MR, French BA, Annex BH, Carrasco N, Sinusas AJ. 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. Circulation. Cardiovascular Imaging 2019, 12:e009063.
- An investigation of quantitative accuracy for deep learning based denoising in oncological PET.Lu W, Onofrey JA, Lu Y, Shi L, Ma T, Liu Y, Liu C. An investigation of quantitative accuracy for deep learning based denoising in oncological PET. Physics In Medicine And Biology 2019, 64:165019.
- GENERALIZABLE MULTI-SITE TRAINING AND TESTING OF DEEP NEURAL NETWORKS USING IMAGE NORMALIZATION.Onofrey JA, Casetti-Dinescu DI, Lauritzen AD, Sarkar S, Venkataraman R, Fan RE, Sonn GA, Sprenkle PC, Staib LH, Papademetris X. GENERALIZABLE MULTI-SITE TRAINING AND TESTING OF DEEP NEURAL NETWORKS USING IMAGE NORMALIZATION. Proceedings / IEEE International Symposium On Biomedical Imaging: From Nano To Macro. IEEE International Symposium On Biomedical Imaging 2019, 2019:348-351.
- Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET.Chan C, Onofrey J, Jian Y, Germino M, Papademetris X, Carson RE, Liu C. Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET. IEEE Transactions On Medical Imaging 2018, 37:504-515.
- Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data.Lu Y, Fontaine K, Mulnix T, Onofrey JA, Ren S, Panin V, Jones J, Casey ME, Barnett R, Kench P, Fulton R, Carson RE, Liu C. Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data. Journal Of Nuclear Medicine : Official Publication, Society Of Nuclear Medicine 2018, 59:1480-1486.
- Real-time computerized video enhancement for minimally invasive fetoscopic surgery.Sadda P, Onofrey J, Imamoglu M, Papademetris X, Qarni B, Bahtiyar MO. Real-time computerized video enhancement for minimally invasive fetoscopic surgery. Laparoscopic, Endoscopic, And Robotic Surgery 2018, 1:27-32.
- Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention.Onofrey JA, Staib LH, Sarkar S, Venkataraman R, Nawaf CB, Sprenkle PC, Papademetris X. Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. Medical Image Analysis 2017, 39:29-43.
- Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients.Onofrey JA, Staib LH, Papademetris X. Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients. NeuroImage. Clinical 2016, 10:291-301.
- Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration. Information Processing In Medical Imaging : Proceedings Of The ... Conference 2015, 24:662-74.
- Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data.Onofrey J, Papademetris X, Staib L. Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data. IEEE Transactions On Medical Imaging 2015, 34:1522-1532.
- LEARNING NONRIGID DEFORMATIONS FOR CONSTRAINED POINT-BASED REGISTRATION FOR IMAGE-GUIDED MR-TRUS PROSTATE INTERVENTION.Onofrey JA, Staib LH, Sarkar S, Venkataraman R, Papademetris X. LEARNING NONRIGID DEFORMATIONS FOR CONSTRAINED POINT-BASED REGISTRATION FOR IMAGE-GUIDED MR-TRUS PROSTATE INTERVENTION. Proceedings / IEEE International Symposium On Biomedical Imaging: From Nano To Macro. IEEE International Symposium On Biomedical Imaging 2015, 2015:1592-1595.
- Learning nonrigid deformations for constrained multi-modal image registration.Onofrey JA, Staib LH, Papademetris X. Learning nonrigid deformations for constrained multi-modal image registration. Medical Image Computing And Computer-assisted Intervention : MICCAI ... International Conference On Medical Image Computing And Computer-Assisted Intervention 2013, 16:171-8.