Hanging nodes for higher-order Lagrange finite elements von Jha, Abhinav

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Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines) von Jha, Abhinav K, Bradshaw, Tyler J, Buvat, Irène, Hatt, Mathieu, Kc, Prabhat, Liu, Chi, Obuchowski, Nancy F, Saboury, Babak, Slomka, Piotr J, Sunderland, John J, Wahl, Richard L, Yu, Zitong, Zuehlsdorff, Sven, Rahmim, Arman, Boellaard, Ronald

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A physics-guided modular deep-learning based automated framework for tumor segmentation in PET von Leung, Kevin H, Marashdeh, Wael, Wray, Rick, Ashrafinia, Saeed, Pomper, Martin G, Rahmim, Arman, Jha, Abhinav K

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Clinical decisions using AI must consider patient values von Birch, Jonathan, Creel, Kathleen A., Jha, Abhinav K., Plutynski, Anya

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Need for objective task‐based evaluation of deep learning‐based denoising methods: A study in the context of myocardial perfusion SPECT von Yu, Zitong, Rahman, Md Ashequr, Laforest, Richard, Schindler, Thomas H., Gropler, Robert J., Wahl, Richard L., Siegel, Barry A., Jha, Abhinav K.

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Deep learning generation of preclinical positron emission tomography (PET) images from low‐count PET with task‐based performance assessment von Dutta, Kaushik, Laforest, Richard, Luo, Jingqin, Jha, Abhinav K., Shoghi, Kooresh I.

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Linear scaling computation of forces for the domain-decomposition linear Poisson–Boltzmann method von Jha, Abhinav, Nottoli, Michele, Mikhalev, Aleksandr, Quan, Chaoyu, Stamm, Benjamin

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A Bayesian approach to tissue-fraction estimation for oncological PET segmentation von Liu, Ziping, Mhlanga, Joyce C, Laforest, Richard, Derenoncourt, Paul-Robert, Siegel, Barry A, Jha, Abhinav K

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Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT Method von Li, Zekun, Benabdallah, Nadia, Laforest, Richard, Wahl, Richard L., Thorek, Daniel L. J., Jha, Abhinav K.

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Theranostics in Neuroendocrine Tumors: Updates and Emerging Technologies von Mallak, Nadine, Yilmaz, Burcak, Meyer, Catherine, Winters, Celeste, Mench, Anna, Jha, Abhinav K., Prasad, Vikas, Mittra, Erik

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Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development von Bradshaw, Tyler J, Boellaard, Ronald, Dutta, Joyita, Jha, Abhinav K, Jacobs, Paul, Li, Quanzheng, Liu, Chi, Sitek, Arkadiusz, Saboury, Babak, Scott, Peter J H, Slomka, Piotr J, Sunderland, John J, Wahl, Richard L, Yousefirizi, Fereshteh, Zuehlsdorff, Sven, Rahmim, Arman, Buvat, Irène

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Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data von Liu, Ziping, Mhlanga, Joyce C, Xia, Huitian, Siegel, Barry A, Jha, Abhinav K

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ISIT-QA: In Silico Imaging Trial to Evaluate a Low-Count Quantitative SPECT Method Across Multiple Scanner-Collimator Configurations for 223 Ra-Based Radiopharmaceutical Therapies von Li, Zekun, Benabdallah, Nadia, Luo, Jingqin, Wahl, Richard L, Thorek, Daniel L J, Jha, Abhinav K

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A quality assurance framework for routine monitoring of deep learning cardiac substructure computed tomography segmentation models in radiotherapy von Jin, Xiyao, Hao, Yao, Hilliard, Jessica, Zhang, Zhehao, Thomas, Maria A., Li, Hua, Jha, Abhinav K., Hugo, Geoffrey D.

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A no-gold-standard technique for objective assessment of quantitative nuclear-medicine imaging methods von Jha, Abhinav K, Caffo, Brian, Frey, Eric C

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A tissue‐fraction estimation‐based segmentation method for quantitative dopamine transporter SPECT von Liu, Ziping, Moon, Hae Sol, Li, Zekun, Laforest, Richard, Perlmutter, Joel S., Norris, Scott A., Jha, Abhinav K.

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ISIT-QA: In Silico Imaging Trial to Evaluate a Low-Count Quantitative SPECT Method Across Multiple Scanner-Collimator Configurations for 223Ra-Based Radiopharmaceutical Therapies von Li, Zekun, Benabdallah, Nadia, Luo, Jingqin, Wahl, Richard L, Thorek, Daniel LJ, Jha, Abhinav K

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Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation von Herington, Jonathan, McCradden, Melissa D, Creel, Kathleen, Boellaard, Ronald, Jones, Elizabeth C, Jha, Abhinav K, Rahmim, Arman, Scott, Peter J H, Sunderland, John J, Wahl, Richard L, Zuehlsdorff, Sven, Saboury, Babak

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Fisher information analysis of list-mode SPECT emission data for joint estimation of activity and attenuation distribution von Rahman, Md Ashequr, Zhu, Yansong, Clarkson, Eric, Kupinski, Matthew A, Frey, Eric C, Jha, Abhinav K

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Artificial Intelligence Algorithms Need to Be Explainable-or Do They? von Bradshaw, Tyler J, McCradden, Melissa D, Jha, Abhinav K, Dutta, Joyita, Saboury, Babak, Siegel, Eliot L, Rahmim, Arman

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