27 citations · 27 across the 3 of their papers we have counts for
4 papers
MRI Super-Resolution with RCDM/WaveMix and Task-Aware Segmentation
Kavitha Viswanathan, Harsh Choudhary, Amit Sethi
Super-resolution and quality enhancement of 1.5\,T brain MRI are normally validated with image-fidelity metrics, although their purpose is to improve downstream analysis. We study…
Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutions
Kavitha Viswanathan, Shashwat Pathak, Piyush Bharambe +2
The tradeoff between reconstruction quality and compute required for video super-resolution (VSR) remains a formidable challenge in its adoption for deployment on resource-constrai…
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications
Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal +5
Graph neural networks (GNNs) present a promising alternative to CNNs and transformers in certain image processing applications due to their parameter-efficiency in modeling spatial…
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari +70
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing gene…