Super resolution of magnetic resonance images P Kaur, AK Sao, CK Ahuja Journal of Imaging 7 (6), 101, 2021 | 6 | 2021 |
MR-SRNET: Transformation of low field MR images to high field MR images P Kaur, A Sharma, A Nigam, A Bhavsar 2018 25th IEEE International Conference on Image Processing (ICIP), 2057-2061, 2018 | 4 | 2018 |
Single image based reconstruction of high field-like MR images P Kaur, AK Sao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 3 | 2019 |
Learning to decode 7t-like mr image reconstruction from 3t mr images A Sharma, P Kaur, A Nigam, A Bhavsar Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 3 | 2018 |
Unsupervised reconstruction of high-field-like magnetic resonance images from low-field magnetic resonance images regularized with magnetic resonance image-based priors PKAKSCK Ahuja SIViP (2022), 2022 | 1 | 2022 |
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images P Srinivasan, P Kaur, A Nigam, A Bhavsar 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 1 | 2020 |
Gradient Profile Based Super Resolution of MR Images with Induced Sparsity P Kaur, AK Sao Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 1 | 2018 |
Quality assessment of MR images: Does deep learning outperform machine learning with handcrafted features on new sites? P Kaur, JS Thornton, F Barkhof, TA Yousry, S Vos, H Zhang Proceedings of Int. Soc. of Magnetic Resonance Imaging, 2024 | | 2024 |
Estimation of 3T MR Images from 1.5 T Images Regularized with Physics Based Constraint P Kaur, A Singh Minhas, CK Ahuja, A Kumar Sao International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution P Kaur, S Mandal, AK Sao Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | | 2017 |