Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

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 Counting from Non-invasive Capillaroscopy Videos.- Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification.- Learning Neuron Stitching for Connectomics.- CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection.- Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax.- Non-parametric vignetting correction for sparse spatial transcriptomics images.- Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.- Deep Reinforcement Exemplar Learning for Annotation Refinement.- Modalities - Histopathology.- Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images.- Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.- GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment.- Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information.- Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images.- Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains.- Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images.- Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology.- Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.- Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images.- Adversarial learning of cancer tissue representations.- A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis.- Modalities - Ultrasound.- USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning.- Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound.- Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations.- Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images.- Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval.- Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels.- Rethinking Ultrasound Augmentation: A Physics-Inspired Approach.