Lab Seminar

Lab Seminar

• [Paper review] Adapting a ConvNeXt model to audio classification on AudioSet

• [Architecture review of lung nodule detection and segmentation models]

  • MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation

  • SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

  • WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network

  • DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation

  • ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module

• [Paper review] Pulmonary nodule detection based on IR‑UNet+ +

• [Paper review] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

• [Paper review] TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

• [Paper review] DeiT: Training data-efficient image transformers & distillation through attention (Hugo Touvron, 2020)

• [Paper review] Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

• [Paper review] Xception : Deep Learning with Depthwise Separable Convolutions (Francois Chollet, 2016)

• [Paper review] DINO - Emerging Properties in Self-Supervised Vision Transformers (Mathilde Caron, 2021)

• [Paper review] Self-Supervised_Pre-Training of Swin Transformers for 3D Medical Image Analysis (Yucheng Tang, 2022)

• [Paper review] ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction (Xiaomin Fang, 2022)