Summary: My Healthcare and Medical Related Paper Readings and Tutorials

List of Machine Learning & Deep Learning Based Healthcare and Medical Related Paper Readings and Tutorials

Sik-Ho Tsang
4 min read3 days ago
Healthcare (Free Image from Pexels: Total Shape)
  • Recently, due to my works, my paper readings, which are related to healthcare or medical topics, have become longer and longer.
  • Thus, I decided to move the healthcare/medical related paper reading list from Summary: My Paper Reading Lists, Tutorials & Sharings to here, so that I can shorten the list for different topics.

0. Overview

2019 [DL in Healthcare]

1. Image-Related

1.1. Biomedical/Medical Image Classification

2017 [ChestX-ray8] [CheXNet] 2019 [CheXpert] 2020 [VGGNet for COVID-19] [Dermatology] [Deep-COVID] [Zeimarani ACCESS’20] [Multiview CNN] 2021 [CheXternal] [CheXtransfer] [CheXbreak] 2022 [BUS-CNN] [CheXED]

1.2. Biomedical/Medical Image Segmentation

2015 [U-Net] 2016 [CUMedVision1] [CUMedVision2 / DCAN] [CFS-FCN] [U-Net+ResNet] [MultiChannel] [V-Net] [3D U-Net] [Moeskops MICCAI’16] 2017 [M²FCN] [Suggestive Annotation (SA)] [3D U-Net+ResNet] [Cascaded 3D U-Net] [DenseVoxNet] [Atlas-Aware Net] 2018 [QSA+QNT] [Attention U-Net] [RU-Net & R2U-Net] [VoxResNet] [UNet++] [H-DenseUNet] [MDU-Net] [Probabilistic U-Net] [CC-3D-FCN] 2019 [DUNet] [NN-Fit] [DUnet & ResDUnet] [Channel-UNet] [HyperDense-Net] [DALS] [UNet+Up+SKM] 2020 [MultiResUNet] [UNet 3+] [Dense-Gated U-Net (DGNet)] [Non-local U-Net] [SAUNet] [SDM] [DIU-Net] [Chen FCVM’20] [cGAN+AC+CAW] [RA-UNet] [SD-UNet] [DoFE] [Inception U-Net] [RefineU-Net] [DoubleU-Net] [PraNet] 2021 [Expanded U-Net] [3-D RU-Net] [nnU-Net] [TransUNet] [CoTr] [TransBTS] [Swin UNETR] [RCU-Net] [IBA-U-Net] [PRDNet] [Up-Net] [SK-Unet] [ResUNet++] [LeViT-UNet] [FFANet] [Medical Transformer (MedT)] 2022 [UNETR] [Half-UNet] [BUSIS] [RCA-IUNet] [Swin-Unet] [DS-TransUNet] [UNeXt] [AdwU-Net] [TransUNetV2] [Swin-SFTNet] 2023 [DCSAU-Net] [RMMLP] [BTS-ST]

1.3. Biomedical/Medical Image Multi-Task Learning (MTL)

2018 [ResNet+Mask R-CNN] [cU-Net+PE] [Multi-Task Deep U-Net] [cGAN-AutoEnc & cGAN-Unet] 2019 [cGAN+AC+CAW] [Qu ISBI’19] [FCN+S-Net+C-Net] 2020 [BUSI] [Song JBHI’20] [cGAN JESWA’20] 2021 [Ciga JMEDIA’21] [CMSVNetIter] [MultiMix] 2023 [FFANet+MTL] [U-Net+MTL] [VENet] [COVID-MTL]

1.4. Biomedical/Medical Image Self-Supervised Learning (SSL)

2018 [Spitzer MICCAI’18] 2019 [Rubik’s Cube] [Context Restoration] 2020 [ConVIRT] [Rubik’s Cube+] 2021 [MICLe] [MoCo-CXR] [DVME] [MedAug] 2022 [BT-Unet] [Taleb JDiagnostics’22] [Self-Supervised Swin UNETR] [Self-Supervised Multi-Modal] 2023 [Multi-Modal ResUNet+ASPP+HAFB]

1.5. Biomedical/Medical Image Semi-Supervised Learning

2019 [UA+MT] 2020 [SASSNet] [FocalMix]

3. Audio-Related

3.1. Phonocardiogram (PCG) / Heart Sound Classification

2013 [PASCAL Dataset] 2016 [PhysioNet/CinC Challenge 2016 Dataset] [20 Ensemble FFNN] [MFCC+CNN CinC’16] 2017 [Modified LeNet & Modified AlexNet] [MFCC+CNN arXiv’17] [MFSC+CNN J. Physil. Meas.’17] 2018 [RNN Variants] [Yaseen GitHub Dataset] [Chakir JSVIP’18] [Spectrogram+CNN] [MFCC+ANN] [CWT Scalogram+CNN EMBC’18] [MFCC+CNN+Optimizied λ] [Seq2Seq Autoencoder on HSS] [Scalogram+VGGNet+SVM] 2019 [AlexNet/VGG + SVM] [LSTM MDPI J. Sensors’19] [LHSNN] [Wavelet+GRU] [ResHNet] [DAE+1D CNN] [CWT Scalogram+AlexNet] [TF-ECNN] [AMDF+LSTM] [IFE+RF, IFE+kNN] 2020 [1D-CNN] [WaveNet] [Power Features+KNN] [Improved MFCC + CRNN] [Ensemble Learning] [HSS Dataset] [Li BioMed Research Int’20] [F-NN Net-4] [2-Layer 64-Unit GRU] [GAN for Normal Heart Sound Synthesis] [5-Layer 1D-CNN] [Pretrained PANN] [MFSWT + CNN] [tConv-CNN] [497 Features + 1D-CNN] 2021 [CardioXNet] [CNN & RNN Overview] [XGBoost + LSTM] [MFCC + CNN] [WSS, SSG] [Multimodal CNN] 2022 [CirCor Dataset] [CNN-LSTM] [DsaNet] [Modified Xception] [Improved MFCC+Modified ResNet] [Learnable Features + VGGNet/EfficientNet] [DWT+SVM] [MFCC+LSTM] [DWT+1D-CNN] [CNN+Attention] [RF/SVM+GA] [NARX] [Chaogram + Inception-v3] 2023 [2LSTM+3FC, 3CONV+2FC] [NRC-Net] [Log-MelSpectrum+Modified VGGNet] [CNN+BiGRU] [CWT+MFCC+DWT+CNN+MLP] [LSTM U-Net (LU-Net)] [DL Overview] [MFCC + k-NN / RF / ANN / SVM + Grid Search] [Long-Short Term Features (LSTF)] [WST+1D-CNN and CST+2D-CNN Ensemble] [CTENN] [Bispectrum + ViT] [Multi-Feature + CNN-1D] [MFCC + Patient Features + RF] [Survey for Detecting Heart Diseases] [PCTMF-Net] [CyTex + ResNet] [HeartWave] 2024 [MWRS-BFSC + CNN2D] [ML & DL Model Study on HSS]

Again, thanks for visiting my Medium stories. :)

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Sik-Ho Tsang

PhD, Researcher. I share what I learn. :) Linktree: https://linktr.ee/shtsang for Twitter, LinkedIn, etc.