🧠 Segment brain tumors accurately using a 2D U-Net model in PyTorch with the BraTS 2020 dataset for efficient evaluation and visualization.

End-to-end UNet3D stack for volumetric medical segmentation: training utilities, FastAPI inference API, Streamlit review UI, Docker deployment, and a model card. Upload NIfTI volumes, get masks back, and visualize slices/IoU plots from experiments. Built for reproducible research and production-grade serving

[NeurIPS 2025] AutoSeg3D, online real-time 3D segmentation as instance tracking with long-short term query memory for embodied perception

SOTA 3D Medical Segmentation framework (UNET++, TransUNET , SwimTransUNET) in TensorFlow. Fully TPU-optimized with a 3-stage OHEM pipeline for the Medical Segmentation Decathlon (MSD).

VAN-GAN: Vessel Segmentation Generative Adversarial Network. A tool to segment 3D vascular networks without paired training data.

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

Napari plugin for spatial RNA quantification

Winning Solution for Vesuvius Challenge First Title. Custom MiniUNETR 3D architecture for ink detection in carbonized scrolls.

The segmentation model for ECCV 2024 paper StyleCity

This is the official repository for Fast-nnUNet, a new fast model inference framework based on the nnUNet framework implementation.

A multi-organ tumour detection using deep learning. MSc First Class Honours project achieving 93.15% Dice score

[NeurIPS 2024 Audio Imagination Workshop] Official implementation of the paper: 3D Audio-Visual Segmentation

[ICCV 2025] This repo is an official PyTorch implementation of PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image.

Solution (Top 6) for 3D segmentation of ovarian cancer with peritoneal carcinosis using CT scans.

The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

Official implementation of ICCV25 paper "Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing"

🔥DM-NeRF in PyTorch (ICLR 2023)

Utils and convenience functions for large-scale bio-image analysis.

[ICCV 2025] InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes

[CVPR 2025] Relation3D: Enhancing Relation Modeling for Point Cloud Instance Segmentation