41 citations · 145 across the 30 of their papers we have counts for
7 papers · 1 filter
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis
Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf +3
Ultrasound (US) imaging is better suited for intraoperative settings because it is real-time and more portable than other imaging techniques, such as mammography. However, US image…
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
Retinal image matching plays a crucial role in monitoring disease progression and treatment response. However, datasets with matched keypoints between temporally separated pairs of…
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian +2
The heterogeneity of breast cancer presents considerable challenges for its early detection, prognosis, and treatment selection. Convolutional neural networks often neglect the spa…
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba +1
Image super-resolution research recently been dominated by transformer models which need higher computational resources than CNNs due to the quadratic complexity of self-attention.…
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation
Chirag P, Mukta Wagle, Ravi Kant Gupta +2
We propose a new technique called CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. Adversarial training is commonly used for lear…
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring
Nikhil Cherian Kurian, Varsha S, Abhijit Patil +2
Semi-supervised learning (semi-SL) is a promising alternative to supervised learning for medical image analysis when obtaining good quality supervision for medical imaging is diffi…