Research Interests
- Medical Image Analysis
- Mathematical modeling for Magnetic Resonance Imaging Acquisition and Analysis
- Image Processing
Publications:
- Kaur P., Sao A.K. (2019) Single Image Based Reconstruction of High Field-Like MR Images. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11766. Springer, Cham
- P. Kaur, A. Sharma, A. Nigam and A. Bhavsar, "MR-Srnet: Transformation of Low Field MR Images to High Field MR Images," 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, 2018, pp. 2057-2061. doi: 10.1109/ICIP.2018.8451021
- Kaur P., Sao A.K. (2018) Gradient Profile Based Super Resolution of MR Images with Induced Sparsity. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Lecture Notes in Computer Science, vol 11070. Springer, Cham
- Kaur P., Mandal S., Sao A.K. (2017) Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution. In: Valdés Hernández M., González-Castro V. (eds) Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, vol 723. Springer, Cham
- Sharma A., Kaur P., Nigam A., Bhavsar A. (2018) Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. In: Stoyanov D. et al. (eds) Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. DLMIA 2018, ML-CDS 2018. Lecture Notes in Computer Science, vol 11045. Springer, Cham