Nuclear medicine and artificial intelligence: best practices for algorithm development TJ Bradshaw, R Boellaard, J Dutta, AK Jha, P Jacobs, Q Li, C Liu, A Sitek, ... Journal of Nuclear Medicine 63 (4), 500-510, 2022 | 65 | 2022 |
A physics-guided modular deep-learning based automated framework for tumor segmentation in PET KH Leung, W Marashdeh, R Wray, S Ashrafinia, MG Pomper, A Rahmim, ... Physics in Medicine & Biology 65 (24), 245032, 2020 | 59 | 2020 |
Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data Sciences Council M Hatt, AK Krizsan, A Rahmim, TJ Bradshaw, PF Costa, A Forgacs, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (2), 352-375, 2023 | 58 | 2023 |
Nuclear medicine and artificial intelligence: best practices for evaluation (the RELAINCE guidelines) AK Jha, TJ Bradshaw, I Buvat, M Hatt, KC Prabhat, C Liu, NF Obuchowski, ... Journal of Nuclear Medicine 63 (9), 1288-1299, 2022 | 58 | 2022 |
Value of intratumoral metabolic heterogeneity and quantitative 18F-FDG PET/CT parameters to predict prognosis in patients with HPV-positive primary oropharyngeal squamous cell … E Mena, M Taghipour, S Sheikhbahaei, AK Jha, A Rahmim, L Solnes, ... Clinical nuclear medicine 42 (5), e227-e234, 2017 | 47 | 2017 |
Simulating silicon photomultiplier response to scintillation light AK Jha, HT Van Dam, MA Kupinski, E Clarkson IEEE transactions on nuclear science 60 (1), 336-351, 2013 | 47 | 2013 |
Listening to membrane potential: photoacoustic voltage-sensitive dye recording HK Zhang, P Yan, J Kang, DS Abou, HND Le, AK Jha, DLJ Thorek, ... Journal of biomedical optics 22 (4), 045006, 2017 | 46 | 2017 |
Objective task-based evaluation of artificial intelligence-based medical imaging methods: framework, strategies, and role of the physician AK Jha, KJ Myers, NA Obuchowski, Z Liu, MA Rahman, B Saboury, ... PET clinics 16 (4), 493-511, 2021 | 41 | 2021 |
Generalized PSF modeling for optimized quantitation in PET imaging S Ashrafinia, H Mohy-ud-Din, NA Karakatsanis, AK Jha, ME Casey, ... Physics in Medicine & Biology 62 (12), 5149, 2017 | 39 | 2017 |
A no-gold-standard technique for objective assessment of quantitative nuclear-medicine imaging methods AK Jha, B Caffo, EC Frey Physics in Medicine & Biology 61 (7), 2780, 2016 | 37 | 2016 |
Clinical decisions using AI must consider patient values J Birch, KA Creel, AK Jha, A Plutynski Nature medicine 28 (2), 229-232, 2022 | 35 | 2022 |
Deep learning segmentation of triple-negative breast cancer (TNBC) patient derived tumor xenograft (PDX) and sensitivity of radiomic pipeline to tumor probability boundary K Dutta, S Roy, TD Whitehead, J Luo, AK Jha, S Li, JD Quirk, KI Shoghi Cancers 13 (15), 3795, 2021 | 34 | 2021 |
Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging F Yousefirizi, AK Jha, J Brosch-Lenz, B Saboury, A Rahmim PET clinics 16 (4), 577-596, 2021 | 32 | 2021 |
AI-based methods for nuclear-medicine imaging: Need for objective task-specific evaluation Z Yu, MA Rahman, T Schindler, R Gropler, R Laforest, R Wahl, A Jha Journal of Nuclear Medicine 61 (supplement 1), 575-575, 2020 | 31 | 2020 |
Practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in positron emission tomography AK Jha, E Mena, B Caffo, S Ashrafinia, A Rahmim, E Frey, ... Journal of Medical Imaging 4 (1), 011011-011011, 2017 | 31 | 2017 |
Using deep-learning to predict outcome of patients with Parkinson’s disease KH Leung, MR Salmanpour, A Saberi, IS Klyuzhin, V Sossi, AK Jha, ... 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 28 | 2018 |
Task-based evaluation of segmentation algorithms for diffusion-weighted MRI without using a gold standard AK Jha, MA Kupinski, JJ Rodriguez, RM Stephen, AT Stopeck Physics in Medicine & Biology 57 (13), 4425, 2012 | 28 | 2012 |
Singular value decomposition for photon-processing nuclear imaging systems and applications for reconstruction and computing null functions AK Jha, HH Barrett, EC Frey, E Clarkson, L Caucci, MA Kupinski Physics in Medicine & Biology 60 (18), 7359, 2015 | 27 | 2015 |
A clustering algorithm for liver lesion segmentation of diffusion-weighted MR images AK Jha, JJ Rodríguez, RM Stephen, AT Stopeck 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI), 93-96, 2010 | 27 | 2010 |
18F-FDG PET/CT Metabolic Tumor Volume and Intratumoral Heterogeneity in Pancreatic Adenocarcinomas: Impact of Dual–Time Point and Segmentation Methods E Mena, S Sheikhbahaei, M Taghipour, AK Jha, E Vicente, J Xiao, ... Clinical nuclear medicine 42 (1), e16-e21, 2017 | 26 | 2017 |