Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

Clinical Applications - Ophthalmology.- Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition.- Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography.- Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition.- RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network.- MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.- Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification.- BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.- LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos.- I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining.- Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition.- Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.- Computational (Integrative) Pathology.- GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images.- Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.- Prototypical models for classifying high-risk atypical breast lesions.- Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation.- Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms.- A computational geometry approach for modeling neuronal fiber pathways.- TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification.- From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks.- DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.- Early Detection of Liver Fibrosis Using Graph Convolutional Networks.- Hierarchical graph pathomic network for progression free survival prediction.- Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans.- Weakly supervised pan-cancer segmentation tool.- Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations.- MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection.- Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning.- Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification.- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image.- Hybrid Supervision Learning for Whole Slide Image Classification.- MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors.- Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging.- Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks.- Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images.- Modalities - Microscopy.- Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field.- Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency.- Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap.- 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.- Annotation-efficient Cell Counting.- A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Co