Deep learning-based attenuation map generation for myocardial perfusion SPECT von Shi, Luyao, Onofrey, John A., Liu, Hui, Liu, Yi-Hwa, Liu, Chi

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An investigation of quantitative accuracy for deep learning based denoising in oncological PET von Lu, Wenzhuo, Onofrey, John A, Lu, Yihuan, Shi, Luyao, Ma, Tianyu, Liu, Yaqiang, Liu, Chi

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Adaptive data-driven motion detection and optimized correction for brain PET von Revilla, Enette Mae, Gallezot, Jean-Dominique, Naganawa, Mika, Toyonaga, Takuya, Fontaine, Kathryn, Mulnix, Tim, Onofrey, John A., Carson, Richard E., Lu, Yihuan

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Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application von Shi, Luyao, Zhang, Jiazhen, Toyonaga, Takuya, Shao, Dan, Onofrey, John A, Lu, Yihuan

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Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging von Gross, Moritz, Spektor, Michael, Jaffe, Ariel, Kucukkaya, Ahmet S., Iseke, Simon, Haider, Stefan P., Strazzabosco, Mario, Chapiro, Julius, Onofrey, John A.

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Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET von Liu, Hui, Wu, Jing, Lu, Wenzhuo, Onofrey, John A, Liu, Yi-Hwa, Liu, Chi

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Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data von Lu, Yihuan, Fontaine, Kathryn, Mulnix, Tim, Onofrey, John A, Ren, Silin, Panin, Vladimir, Jones, Judson, Casey, Michael E, Barnett, Robert, Kench, Peter, Fulton, Roger, Carson, Richard E, Liu, Chi

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An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution von Sun, Chen, Revilla, Enette Mae, Zhang, Jiazhen, Fontaine, Kathryn, Toyonaga, Takuya, Gallezot, Jean-Dominique, Mulnix, Tim, Onofrey, John A., Carson, Richard E., Lu, Yihuan

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Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning von Onofrey, John A., Staib, Lawrence H., Papademetris, Xenophon

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Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine von Toyonaga, Takuya, Shao, Dan, Shi, Luyao, Zhang, Jiazhen, Revilla, Enette Mae, Menard, David, Ankrah, Joseph, Hirata, Kenji, Chen, Ming-Kai, Onofrey, John A., Lu, Yihuan

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Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET von Lu, Yihuan, Gallezot, Jean-Dominique, Naganawa, Mika, Ren, Silin, Fontaine, Kathryn, Wu, Jing, Onofrey, John A, Toyonaga, Takuya, Boutagy, Nabil, Mulnix, Tim, Panin, Vladimir Y, Casey, Michael E, Carson, Richard E, Liu, Chi

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DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT von Chen, Xiongchao, Zhou, Bo, Xie, Huidong, Guo, Xueqi, Zhang, Jiazhen, Duncan, James S., Miller, Edward J., Sinusas, Albert J., Onofrey, John A., Liu, Chi

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Bias in medical AI: Implications for clinical decision-making von Cross, James L., Choma, Michael A., Onofrey, John A.

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Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics von Gross, Moritz, Huber, Steffen, Arora, Sandeep, Ze’evi, Tal, Haider, Stefan P., Kucukkaya, Ahmet S., Iseke, Simon, Kuhn, Tom Niklas, Gebauer, Bernhard, Michallek, Florian, Dewey, Marc, Vilgrain, Valérie, Sartoris, Riccardo, Ronot, Maxime, Jaffe, Ariel, Strazzabosco, Mario, Chapiro, Julius, Onofrey, John A.

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Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data von Onofrey, John A., Papademetris, Xenophon, Staib, Lawrence H.

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Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning von Gross, Moritz, Haider, Stefan P., Ze’evi, Tal, Huber, Steffen, Arora, Sandeep, Kucukkaya, Ahmet S., Iseke, Simon, Gebauer, Bernhard, Fleckenstein, Florian, Dewey, Marc, Jaffe, Ariel, Strazzabosco, Mario, Chapiro, Julius, Onofrey, John A.

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A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging von Dong, Siyuan, Cai, Zhuotong, Hangel, Gilbert, Bogner, Wolfgang, Widhalm, Georg, Huang, Yaqing, Liang, Qinghao, You, Chenyu, Kumaragamage, Chathura, Fulbright, Robert K., Mahajan, Amit, Karbasi, Amin, Onofrey, John A., de Graaf, Robin A., Duncan, James S.

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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 von Gonzales, Ricardo A., Seemann, Felicia, Lamy, Jerome, Mojibian, Hamid, Atar, Dan, Erlinge, David, Steding-Ehrenborg, Katarina, Arheden, Hakan, Hu, Chenxi, Onofrey, John A., Peters, Dana C., Heiberg, Einar

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Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects von Tram, Nguyen K., Chou, Ting-Heng, Janse, Sarah A., Bobbey, Adam J., Audino, Anthony N., Onofrey, John A., Stacy, Mitchel R.

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Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation von Onofrey, John A, Staib, Lawrence H, Huang, Xiaojie, Zhang, Fan, Papademetris, Xenophon, Metaxas, Dimitris, Rueckert, Daniel, Duncan, James S

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