Stars
[IEEE Transactions on Medical Imaging/TMI 2024] This repository is the official implementation of the paper ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentat…
[TMI'24] Translation Consistent Semi-supervised Segmentation for 3D Medical Images
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery (CVPR 2023)
[ICCV 23] MolGrapher: Graph-based Visual Recognition of Chemical Structures
When AI Fails is a project dedicated to documenting the funny, interesting, and sometimes outright stupid ways in which AI can fail.
Topological losses for spatially coherent CNN-based (multi-class) image segmentation in 2D and 3D
Collection of Question Papers for Various Courses [Core+Electives]
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
Similarity Measure. Re-implementation for PyTorch.
2D Fast normalized cross correlation (ZNCC) as a PyTorch module using integral images and FFT
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…
Auto-differentiable digitally reconstructed radiographs in PyTorch
Differentiable, physics-based renderer for realistic ultrasound synthesis from MRI, enabling registration and reconstruction via PyTorch.
Deep Reinforcement Learning Hands-On, 3E_Published by Packt
My implementation for the MICCAI paper Bayesian Model for prediction Officialusing fixed pre-trained feature extractor with results reported on the IIRC setup
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
This repository contains a curated list of research internships for the summer or post-summer of 2025.