activity
20152024
most citedFast Design of Plasmonic Metasurfaces Enabled by Deep Learning

41 citations · 145 across the 30 of their papers we have counts for

collaborators

33 papers

eess.IV2024★ 35 cited

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Abhijeet Patil, Harsh Diwakar, Jay Sawant +5

Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic soft…

eess.IV2023

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 2 cited

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.…

cs.CV2023★ 1 cited

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…