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
- 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
2018 [Clinical NLP Overview] 2019 [DL in Healthcare] 2023 [Regulatory Oversight of LLM]
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] [DeepLabv3+ for Gingivitis Segmentation]
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
2. NLP-Related
2.1. Healthcare/Medical NLP
2017 [LiveQA] 2018 [Clinical NLP Overview] 2019 [MedicationQA] [G-BERT] [PubMedQA] [Clinical BERT] [SciBERT] [BLUE] 2020 [BioBERT] [BEHRT] [COVID-Q] [COVID-QA] 2021 [MedGPT] [Med-BERT] [MedQA] [BLURB, PubMedBERT] [MMLU] [COVID-19 Chatbot Using BERT] [COBERT] 2022 [MedMCQA] [LinkBERT, BioLinkBERT] [AI Chatbot for Caregivers’s Questions] 2023 [ExBEHRT] [BERT-Based Medical Chatbot]
2.2. Healthcare/Medical LLM
2023 [MultiMedQA, HealthSearchQA, Med-PaLM] [Med-PaLM 2] [ChatDoctor] [DoctorGLM] [HuaTuo] [MedAlpaca]
2.3. Healthcare/Medical LLM Evaluation
2023 [GPT-4 in Radiology] [ChatGPT & GPT‑4 on USMLE] 2024 [ChatGPT & GPT-4 on Dental Exam] [ChatGPT-3.5 on Radiation Oncology] [LLM on Clicical Text Summarization] [Extract COVID-19 Symptoms Using ChatGPT & GPT-4] [ChatGPT on Patients Medication] [AI Chatbot Study on Drug Info for Patients]
3. Audio-Related
3.1. Phonocardiogram (PCG) / Heart Sound Classification
3.1.1. Overview
2020 [Li BioMed Research Int’20] 2021 [CNN & RNN Overview] 2023 [DL Overview] [Survey for Detecting Heart Diseases] [Literature on HS Classification] 2024 [Review on AI for HSC]
3.1.2. Dataset
2013 [PASCAL Dataset] 2016 [PhysioNet/CinC Challenge 2016 Dataset] 2018 [Yaseen GitHub Dataset] 2020 [HSS Dataset] 2022 [CirCor Dataset] 2023 [HeartWave Dataset] [PhysioNet Challenge 2022]
3.1.3. ML / DL
2016 [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] [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] [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] [XGBoost + LSTM] [MFCC + CNN] [WSS, SSG] [Multimodal CNN] 2022 [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] [InceptionTime on PCG] [HearHeart] [PRNA] [DBRes] [ISIBrno-AIMT] [Care4MyHeart] 2023 [2LSTM+3FC, 3CONV+2FC] [NRC-Net] [Log-MelSpectrum+Modified VGGNet] [CNN+BiGRU] [CWT+MFCC+DWT+CNN+MLP] [LSTM U-Net (LU-Net)] [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] [PCTMF-Net] [CyTex + ResNet] 2024 [MWRS-BFSC + CNN2D] [ML & DL Model Study on HSS] [Audio Data Analysis Tool]
3.2. Snore Sound Classification
3.2.1. Dataset
2017 [INTERSPEECH 2017 Challenges: Addressee, Cold & Snoring] 2018 [MPSSC] 2023 [SSBPR]
3.2.2. ML/DL
2018 [AlexNet & VGG-19 for Snore Sound Classification] 2019 [CNN for Snore] 2020 [Snore-GAN] 2021 [ZCR + MFCC + PCA + SVM] [DWT + LDOP + RFINCA + kNN] [CQT + CNN + LSTM] [RTSD] 2022 [Snore Sound Meta Learning] 2023 [Snore Sound MAML] [Modified VG + Inception] [XGBoost + CNN + ResNet] [Raw Audio + 1D-CNN & VG + 2D-CNN] 2024 [CQT + HPSS + CNN + LSTM]
- My Paper Reading Lists, Tutorials & Sharings (From Image Classification, Object Detection, Semantic Segmentation, Natural Language Processing (NLP), Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) to …)
- My Paper Readings about IQA/VQA, and Camera Tampering/Blur/Soiling Detection
- My Paper Readings and Tutorials About Video Coding
Again, thanks for visiting my Medium stories. :)
