supervision

2026

• Conditional latent diffusion models for personalized spatiotemporal cardiac anatomy generation from ECG and clinical coveriates
• Spatio-temporal modeling of weather stations for probabilistic forecasting using masked autoencoders
• A mixture of experts approach to data-driven weather forecasting via a unified multi-model pipeline
• Diffusion forcing transformer for weather forecasting

2025

• Mixture of expert denoising diffusion models for efficient large scale weather data ingestion and super-resolution
• Latent diffusion models for domain adaptation in optoacoustic imaging
• Deep learning surrogate models for radiative transfer and dynamical core solvers in numerical weather prediction
• Wavelet-compressed masked autoencoders for efficient large-scale weather data ingestion
• Dataset generation of multi-material deformable objects and image to deformation reconstruction
• PokeFlex: A real-world multimodal dataset of volumetric deformable objects for robotic manipulation and learning-based mesh reconstruction
• Whole-Heart MRI segmentation with GLoG-CSUnet: Adapting a vision transformer architecture for congenital heart disease

2024

• Benchmarking physics simulators for deformable object manipulation: A comparative analysis of MuJoCo and Isaac Gym for robotic grasping
• Enhancing robotic object interaction using vision-language models: A pipeline for object hardness estimation via object detection, image captioning, and LLM reasoning
• Vision-language model pipeline for zero-shot object characterization in robotic manipulation
• Data storage and ingestion for single node deep learning
• Accelerating large-scale data ingestion via wavelet decomposition and diffusion-based coefficient prediction: A case study on atmospheric reanalysis data
• Denoising diffusion models for random and conditional image synthesis on experimental optoacoustic data

2023

• Synthetic data distillation from GAN-based few-shot segmentation for efficient UNet training on optoacoustic images

2022

• Adapting masked autoencoders (MAE) to non-natural-image domains: A case study on optoacoustic tomography signals

2021

• Contrastive representation learning (SimCLR) for optoacoustic image analysis: Benchmarking against autoencoder baselines
• Bayesian spatio-temporal graph neural network for probabilistic lake surface temperature prediction
• Anomaly detection in temporal lake weather station data using autoencoders
• Bi-directional RNN models for multi-sensor time-series analysis of meteorological readings

2019

• Transfer learning for anatomical structure agnostic segmentation with adversarial networks

2018

• Towards semantic segmentation in MRI: Efficient active learning with CNNs
• Interactive bone segmentation using ensemble of deep neural networks

2017

• Alignment of ultrasound to computed tomography images using bone surfaces
• Detection of unique and consistent anatomical landmarks in medical images

2016

• Interactive MR segmentation using random forests and multi-resolution random walker
• Feature extraction and sampling for supervised learning in MRI segmentation