Code of NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views

"Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)

We present QAERTS, a parameter-efficient multi-head model for 3D fetal brain pose estimation from freehand 2D ultrasound videos by leveraging uncertainty across different geometric transformations,…

Reconstructing a 3D volume from 2D freehand ultrasound images by training a deep network to implicitly represent the volume.

A network, trained with just registered volumes, to predict the 3D location of 2D freehand ultrasound fetal brain images and video

[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

[TNNLS 2025] TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Mamba SSM architecture

Framework to enable the inference of a high resolution personalized 4D (3D plus time) surface mesh of the cardiac structures from 2D echocardiography video data.