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Abhinav K Jha
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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
582022
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
542020
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
502022
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
452023
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
452013
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
442017
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
422017
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
372021
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
352016
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
342017
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
322021
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
302021
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
302020
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
302017
Clinical decisions using AI must consider patient values
J Birch, KA Creel, AK Jha, A Plutynski
Nature medicine 28 (2), 229-232, 2022
282022
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
282012
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
272015
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
272010
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
262018
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
262017
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Articles 1–20