| 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 |
| Densely connected recurrent residual (dense r2unet) convolutional neural network for segmentation of lung ct images K Dutta arXiv preprint arXiv:2102.00663, 2021 | 17 | 2021 |
| Predictive diagnosis of glaucoma based on analysis of focal notching along the neuro-retinal rim using machine learning R Mukherjee, S Kundu, K Dutta, A Sen, S Majumdar Pattern Recognition and Image Analysis 29, 523-532, 2019 | 12 | 2019 |
| Deep learning framework to synthesize high-count preclinical PET images from low-count preclinical PET images K Dutta, Z Liu, R Laforest, A Jha, KI Shoghi Medical Imaging 2022: Physics of Medical Imaging 12031, 351-360, 2022 | 9 | 2022 |
| Automatic evaluation and predictive analysis of optic nerve head for the detection of glaucoma K Dutta, R Mukherjee, S Kundu, T Biswas, A Sen 2018 2nd International Conference on Electronics, Materials Engineering …, 2018 | 9 | 2018 |
| Deep learning based framework for automatic diagnosis of glaucoma based on analysis of focal notching in the optic nerve head S Dasgupta, R Mukherjee, K Dutta, A Sen arXiv preprint arXiv:2112.05748, 2021 | 5 | 2021 |
| Deep learning based generation of high-count preclinical [18F]-FDG PET images from low-count [18F]-FDG PET images K Dutta, T Whitehead, R Laforest, A Jha, K Shoghi Journal of Nuclear Medicine 63 (supplement 2), 3222-3222, 2022 | 3 | 2022 |
| Dynamic Queuing Model for the Secondary Users in a Cognitive Radio Network for Improvement of QoS K Dutta, R Mukherjee, A Kundu, S Kundu 2018 IEEE International Conference on Advanced Networks and …, 2018 | 2 | 2018 |
| Deep learning generation of preclinical positron emission tomography (PET) images from low‐count PET with task‐based performance assessment K Dutta, R Laforest, J Luo, AK Jha, KI Shoghi Medical Physics, 2024 | | 2024 |
| Self-Supervised learning framework to generate preclinical Standard-Count PET from Low-Count PET and multi-objective task-based performance evaluation K Dutta, R Laforest, KI Shoghi 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | | 2023 |
| Assessing the performance of software platforms to segment mouse brains using digital a phantom P Maiti, S Li, K Dutta, T Whitehead, K Shoghi Journal of Nuclear Medicine 64 (supplement 1), P1362-P1362, 2023 | | 2023 |
Abhinav K JhaAsst. Prof. of BME/Radiology, Washington University in St. LouisVerified email at wustl.edu
