moucheng2017

Learn_Noisy_Labels_Medical_Images

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

EMSSL

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

MisMatchSSL

[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

UROP_2017

[ISTA 2018] Effect of Different Depth Designs of 3D Printed Patient Specific Instrument (PSI) on Planar Cutting Operation Accuracy in Simulated Orthopaedic Surgery: A Preliminary Study

Pay_Attention_To_Mistakes

[BMVC 2020] Learning To Pay Attention To Mistakes

SatsumaSeg

Segmentation of Pulmonary Tublar Structures with CT Volumes (Developing)

deep-mri

(under construction) a hierarchical clustering deep learning model for MRI parameter mapping

moucheng2017.github.io

3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

kannada_exp

LLMs-from-scratch-mcx

Implementing a ChatGPT-like LLM from scratch, step by step

mean-teacher

A state-of-the-art semi-supervised method for image recognition

mnist_robust

CMIC Hackathon

MAE-exp

PyTorch implementation of Masked Autoencoder

MRes_individual_project

[Preprint] Attention Based Diagnosis Support in Neurosurgical Oncology Using Intraoperative Ultrasound Data

pytorch-cifar

95.47% on CIFAR10 with PyTorch

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

TorchSemiSeg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

YOLO3D

YOLO 3D Object Detection for Autonomous Driving Vehicle