no code implementations • 30 Nov 2023 • Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
One approach involves converting images into nodes by identifying significant keypoints within them.
no code implementations • 10 Aug 2023 • Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf, Amruta Mahendra Parulekar, Purvi Haria, Amit Sethi
Then, we utilize generative adversarial networks (GANs) to tackle the inverse problem of generating mammogram-quality images from ultrasound images.
1 code implementation • 20 Jul 2023 • Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
We propose a novel approach based on reverse knowledge distillation to train large models with limited data while preventing overfitting.
Ranked #1 on Image Registration on FIRE
1 code implementation • 15 Sep 2022 • Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade.
no code implementations • 5 Mar 2022 • Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi, Mohit Meena, Amit Sethi
We present WSSAMNet, a weakly supervised method for medical image registration.
1 code implementation • 23 Jan 2022 • Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients.