| Logistic LASSO regression for dietary intakes and breast cancer AJ McEligot, V Poynor, R Sharma, A Panangadan Nutrients 12 (9), 2652, 2020 | 205 | 2020 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 39 | 2022 |
| Sm2n2: A stacked architecture for multimodal data and its application to myocardial infarction detection R Sharma, CF Eick, NV Tsekos Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 7 | 2021 |
| A deep learning approach to upscaling “low-quality” MR Images: an in silico comparison study based on the UNet framework R Sharma, P Tsiamyrtzis, AG Webb, I Seimenis, C Loukas, E Leiss, ... Applied Sciences 12 (22), 11758, 2022 | 6 | 2022 |
| Myocardial infarction segmentation in late gadolinium enhanced MRI images using data augmentation and chaining multiple U-Net R Sharma, CF Eick, NV Tsekos 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 6 | 2020 |
| Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients, 12 (9), 2652 AJ McEligot, V Poynor, R Sharma, A Panangadan | 6 | 2020 |
| Logistic LASSO regression for dietary intakes and breast Cancer. Nutrients. 2020; 12: 2652 AJ McEligot, V Poynor, R Sharma, A Panangadan | 5 | |
| Logistic LASSO regression for dietary intakes and breast cancer. Nutrients 12, 2652 AJ McEligot, V Poynor, R Sharma, A Panangadan | 3 | 2020 |
| Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI R Sharma, P Tsiamyrtzis, AG Webb, EL Leiss, NV Tsekos Magnetic Resonance Materials in Physics, Biology and Medicine, 1-22, 2023 | 1 | 2023 |
| Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer R Griffin, R Sharma, A Webb, NV Tsekos 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023 | | 2023 |
| From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution M Javadi, R Sharma, P Tsiamyrtzis, S Shah, EL Leiss, NV Tsekos 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023 | | 2023 |
| Multi‐branch convolutional neural network for Alzheimer’s Disease versus normal control classification using PET images R Sharma, L Sibille, R Fahmi Alzheimer's & Dementia 19, e061092, 2023 | | 2023 |
| Tsiam rtzis, P R Sharma Webb,. G., Leiss, EL, & Tsekos, NV, 2023 | | 2023 |
| DEEP LEARNING IN UPSCALING LOW QUALITY MR IMAGES: A COMPARISON STUDY OF THREE UNET ARCHITECTURES WITH AND WITHOUT PRIOR EMPLOYMENT R Sharma, P Tsiamyrtzis, A Webb, I Seimenis, C Loukas, E Leiss, ... Physica Medica 104, S53-S54, 2022 | | 2022 |
Nikolaos V. TsekosDepartment of Computer Science, University of HoustonVerified email at central.uh.edu
