News

Our paper entitled “Event-driven Neuromorphic Near-Field Radar Imaging,” has been accepted for presentation at IEEE ICASSP 2026! See you in Barcelona!

Our paper entitled “Sparse recovery using tight frames and minimax concave penalty,” has been accepted for presentation at IEEE ICASSP 2026! See you in Barcelona!

Our paper titled “Visualization Guided Retinal Fluid Segmentation of Optical Coherence Tomography B-Scans” by Saptarshi Mandal, Oindrila Haldar, Chandra Sekhar Seelamantula, and Raghu Prasad has been accepted for presentation at the IEEE International Symposium on Biomedical Imaging (ISBI) 2026.

Our paper titled “Unsupervised Ultrasound Image Denoising with Monte Carlo Risk Estimation” by A. Gupta, C. S. Seelamantula, Thierry Blu, H. Sekhar, N. Dube, and S. Raman has been accepted for presentation at the IEEE International Symposium on Biomedical Imaging (ISBI) 2026.

Module II: Concentration of Probability Measures

PhD Thesis Colloquium: Abijith Jagannath Kamath

An AI for an Eye

On nuances of electronic voting

Our work spline-based 3D reconstruction technique, “SplineSplat” got accepted in SIGGRAPH Asia 2025, Technical Communications!

“Deep Unsupervised Despeckling via Unbiased Risk Estimation,” is a spotlight presentation at ICIP 2025!

We have two Qualcomm Innovation Fellowships awarded! Congratulations to Nygel, Abhishek and Abijith.

Forecasting Epidemics: From Ensembles to Graph Neural Networks

Our work plug-and-play technique for FRI signal reconstruction, “DeepFRI,” is now on IEEE Transactions on Signal Processing!

Model-Based Deep Learning For Sensor Selection

Phase Retrieval: computational imaging in the machine learning era

Things you should know before submitting your next paper

Noise in imaging: focus on correlation and nonlinearity

The four generations of single-neuron models

PhD Thesis Defense: Nareddy Kartheek Kumar Reddy

Wearable Sensor Signal Processing and Data Analytics for Health Applications

Human Perception and Image Analysis in the Era of Machine Learning

Artificial Intelligence for Eyecare

Randomized Linear Algebra - An Introduction

Are Deep Learning Techniques for MR Image Super-Resolution Ready for Deployment?

PhD Thesis Colloquium: Nareddy Kartheek Kumar Reddy