Name: Linhao_Qu_FDUMICCAI
Type: User
Company: Digital Medical Research Center, Fudan University
Bio: My official account. Ph.D. student of BME in Fudan University. Research interests include medical image processing, information fusion and data mining.
Location: Shanghai, China
Blog: linhao-qu.github.io
Linhao_Qu_FDUMICCAI's Projects
This is a PyTorch/GPU implementation of the Expert Systems With Applications 2022 paper: AIM-MEF: Multi-Exposure Image Fusion Based on Adaptive Information Mining in Both Spatial and Frequency Domains.
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework"
This is a PyTorch/GPU implementation of the Information Fusion 2022 paper: Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.:
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'
Official PyTorch Code of our ICCV2023 paper MILBooster
Official PyTorch Code of our MICCAI2023 paper OpenAL
[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification