Balakumar Sundaralingam

Balakumar Sundaralingam is a Senior Research Scientist at NVIDIA. His research interests are in enabling robots to fluidly navigate and interact in unstructured environments while sharing the space with humans. His work involves combining perception, machine learning, numerical optimization, control theory, and robot software-hardware interfaces.

Neurreg: Neural registration and its application to image segmentation

Registration is a fundamental task in medical image analysis which can be applied to several tasks including image segmentation, intra-operative tracking, multi-modal image alignment, and motion analysis. Popular registration tools such as ANTs and NiftyReg optimize an objective function for each pair of images from scratch which is time-consuming for large images with complicated deformation. Facilitated by the rapid progress of deep learning, learning-based approaches such as VoxelMorph have been emerging for image registration.

When Radiology Report Generation Meets Knowledge Graph

Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study

Privacy-preserving Federated Brain Tumour Segmentation

Cardiac Segmentation of LGE MRI with Noisy Labels

4D CNN for semantic segmentation of cardiac volumetric sequences

An Alarm System for Segmentation Algorithm Based on Shape Model

Deep Hierarchical Multi-label Classification of Chest X-ray Images

Can Zhao

Dr. Can Zhao has been a Research Scientist at NVIDIA focusing on deep learning for medical imaging since 2019. She specializes in deep learning based medical image synthesis. Currently she leads the development of MAISI, the 3D Medical Image Generation Foundation Model.

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