ksoh97
Graduate Student, Department of Artificial Intelligence, Korea University
@ku-milabSeoul, South Korea
Pinned Repositories
3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
BIN
Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"
Driver-drowsiness-classification
Mini-project using the PyTorch framework
FIESTA
Pytorch implementation of "FIESTA: Fourier-based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation" [Submitted to MedIA]
GMBA
Pytorch implementation of "Age-Aware Guidance via Masking-Based Attention in Face Aging" [CIKM 2023]
ksoh97
LEAR
Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model" [TPAMI 2022]
LiCoL
Tensorflow implementation of "A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals" [MedNeurIPS2022], [Submitted to TPAMI]
MelGAN-Waveform-synthesis
Pytorch re-implementation of MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
UHF-guided_segmentation
PyTorch implementation of "Transferring Ultra-high Field Representations for Intensity-Guided Brain Segmentation of Low Field MRI" [MICCAI 2022], [Submitted to MedIA]
ksoh97's Repositories
ksoh97/Driver-drowsiness-classification
Mini-project using the PyTorch framework
ksoh97/LEAR
Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model" [TPAMI 2022]
ksoh97/BIN
Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"
ksoh97/3d-shapes
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
ksoh97/FIESTA
Pytorch implementation of "FIESTA: Fourier-based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation" [Submitted to MedIA]
ksoh97/ksoh97
ksoh97/MelGAN-Waveform-synthesis
Pytorch re-implementation of MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
ksoh97/Brain-tumor-segmentation
Mini-project using the TensorFlow and PyTorch framework jointly
ksoh97/gala_tpu
ksoh97/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
ksoh97/interpretable-ml-book
Book about interpretable machine learning
ksoh97/LiCoL
Tensorflow implementation of "A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals" [MedNeurIPS2022], [Submitted to TPAMI]
ksoh97/My_investigate
XAI approaches based on the TensorFlow framework to understand neural networks decision
ksoh97/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
ksoh97/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
ksoh97/UHF-guided_segmentation
PyTorch implementation of "Transferring Ultra-high Field Representations for Intensity-Guided Brain Segmentation of Low Field MRI" [MICCAI 2022], [Submitted to MedIA]
ksoh97/VIGNet
A source code for "VIGNet: A deep convolutional neural network for EEG-based driver vigilance estiamtion"
ksoh97/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
ksoh97/GMBA
Pytorch implementation of "Age-Aware Guidance via Masking-Based Attention in Face Aging" [CIKM 2023]
ksoh97/Segment-Anything-Model-for-Medical-Images
Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.
ksoh97/SLAug
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"
ksoh97/Swin-Transformer-TF
Tensorflow implementation of Swin Transformer model.