hathawayxxh
I'm a Postdoctoral researcher at the department of Radiation Oncology, Stanford University.
Stanford UniversityPalo Alto, CA
Pinned Repositories
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
CRCKD
The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
FGCS-LNL
hathawayxxh.github.io
Xiaohan Xing's homepage
ISBI-2019
code for paper isbi-2019
MultiModal-learning
WCE-AGDN
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
WCE-SOTA-methods
Tensorflow implementations of state-of-the-art WCE classification algorithms
hathawayxxh's Repositories
hathawayxxh/CRCKD
The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
hathawayxxh/WCE-AGDN
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
hathawayxxh/WCE-SOTA-methods
Tensorflow implementations of state-of-the-art WCE classification algorithms
hathawayxxh/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
hathawayxxh/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
hathawayxxh/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
hathawayxxh/FGCS-LNL
hathawayxxh/ISBI-2019
code for paper isbi-2019
hathawayxxh/covid19_critically_ill
Trained model and inference code for early triage of critically-ill COVID-19 patients.
hathawayxxh/hathawayxxh.github.io
Xiaohan Xing's homepage
hathawayxxh/MultiModal-learning
hathawayxxh/CVPR-2021-Papers
hathawayxxh/Decoupled-Unbiased-Teacher
hathawayxxh/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
hathawayxxh/HKD
Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
hathawayxxh/HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
hathawayxxh/HUMUS-Net
HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction
hathawayxxh/hyp_metric
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
hathawayxxh/hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
hathawayxxh/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
hathawayxxh/MINet
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
hathawayxxh/MLA-GNN
hathawayxxh/mmdynamics
hathawayxxh/multiview_learning
hathawayxxh/Reading-List-in-2018
Reading list on deep learning
hathawayxxh/Reading-list-in-2019
hathawayxxh/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
hathawayxxh/scaden
Deep Learning based cell composition analysis with Scaden.
hathawayxxh/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf