E-grāmata: Medical Image Computing and Computer Assisted Intervention - MICCAI 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V

Biological, Optical, Microscopic Imaging.- Channel Embedding for
Informative Protein Identification from Highly Multiplexed Images.- Demixing
Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix
Factorization.- Automated Measurements of Key Morphological Features of Human
Embryos for IVF.- A Novel Approach to Tongue Standardization and Feature
Extraction.- Patch-based Non-Local Bayesian Networks for Blind Confocal
Microscopy Denoising.- Attention-guided Quality Assessment for Automated
Cryo-EM Grid Screening.- MitoEM Dataset: Large-scale 3D Mitochondria Instance
Segmentation from EM Images.- Learning Guided Electron Microscopy with Active
Acquisition.- Neuronal Subcompartment Classification and Merge Error
Correction.- Microtubule Tracking in Electron Microscopy Volumes.- Leveraging
Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity.-
Statistical Atlas of C.elegans Neurons.- Probabilistic Segmentation and
Labeling of C. elegans Neurons.- Segmenting Continuous but Sparsely-Labeled
Structures in Super-Resolution Microscopy Using Perceptual Grouping.- DISCo:
Deep learning, Instance Segmentation, and Correlations for cell segmentation
in calcium imaging.- Isotropic Reconstruction of 3D EM Images with
Unsupervised Degradation Learning.- Background and illumination correction
for time-lapse microscopy data  with correlated foreground.- Joint
Spatial-Wavelet Dual-Stream Network for Super-Resolution.- Towards Neuron
Segmentation from Macaque Brain Images: A Weakly Supervised Approach.- 3D
Reconstruction and Segmentation of Dissection Photographs for MRI-free
Neuropathology.- DistNet: Deep Tracking by displacement regression:
application to bacteria growing in the Mother Machine.- A weakly supervised
deep learning approach for detecting malaria and sickle cell anemia in blood
films.- Imaging Scattering Characteristics of Tissue in Transmitted
Microscopy.- Attention based multiple instance learning for classification of
blood cell disorders.- A generative modeling approach for interpreting
population-level variability in brain structure.- Processing-Aware Real-Time
Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT.- Cell
Segmentation and Stain Normalization.- Boundary-assisted Region Proposal
Networks for Nucleus Segmentation.- BCData: A Large-Scale Dataset and
Benchmark for Cell Detection and Counting.- Weakly-Supervised Nucleus
Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated
Learning Strategy.- Structure Preserving Stain Normalization of
Histopathology Images Using Self Supervised Semantic Guidance.- A Novel Loss
Calibration Strategy for Object Detection Networks Training on Sparsely
Annotated Pathological Datasets.- Histopathological Stain Transfer Using
Style Transfer Network With Adversarial Loss.- Instance-aware Self-supervised
Learning for Nuclei Segmentation.- StyPath: Style-Transfer Data Augmentation
For Robust Histology Image Classification.- Multimarginal Wasserstein
Barycenter for Stain Normalization and Augmentation.- Corruption-Robust
Enhancement of Deep Neural Networks for Classification of Peripheral Blood
Smear Images.- Multi-Field of View Aggregation and Context Encoding for
Single-Stage Nucleus Recognition.- Self-Supervised Nuclei Segmentation in
Histopathological Images Using Attention.- FocusLiteNN: High Efficiency Focus
Quality Assessment for Digital Pathology.- Histopathology Image Analysis.-
Pairwise Relation Learning for Semi-supervised Gland Segmentation.-
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images.-
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based
Annotation in Whole-Slide Images.- Censoring-Aware Deep Ordinal Regression
for Survival Prediction from Pathological Images.- Tracing Diagnosis Paths on
Histopathology WSIs for Diagnostically Relevant Case Recommendation.- Weakly
supervised multiple instance learning histopathological tumor segmentation.-
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal
Cancer.- Microscopic fine-grained instance classification through deep
attention.- A Deformable CRF Model for Histopathology Whole-slide Image
Classification.- Deep Active Learning for Breast Cancer Segmentation on
Immunohistochemistry Images.- Multiple Instance Learning with Center
Embeddings for Histopathology Classification.- Graph Attention Multi-instance
Learning for Accurate Colorectal Cancer Staging.- Deep Interactive Learning:
An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment
Response Assessment.- Modeling Histological Patterns for Differential
Diagnosis of Atypical Breast Lesions.- Foveation for Segmentation of
Mega-pixel Histology Images.- Multimodal Latent Semantic Alignment for
Automated Prostate Tissue Classification and Retrieval.- Opthalmology.-
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.-
Combining Fundus Images and Fluorescein Angiographyfor Artery/Vein
Classification Using the Hierarchical Vessel Graph Network.- Adaptive
Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion.-
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein
Classification.- DeepGF: Glaucoma Forecast Using Sequential Fundus Images.-
Single-Shot Retinal Image Enhancement Using Deep Image Prior.- Robust Layer
Segmentation against Complex Retinal Abnormalities for en face OCTA
Generation.- Anterior Segment Eye Lesion Segmentation with Advanced Fusion
Strategies and Auxiliary Tasks.- Cost-Sensitive Regularization for Diabetic
Retinopathy Grading from Eye Fundus Images.- Disentanglement Network for
Unpsupervised Speckle Reduction of Optical Coherence Tomography Images.-
Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for
OCT Images.- Retinal Layer Segmentation Reformulated as OCT Language
Processing.- Reconstruction and Quantification of 3D Iris Surface for
Angle-Closure Glaucoma Detection in Anterior Segment OCT.-
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT
Sequences.- A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue
Segmentation.- Macular Hole and Cystoid Macular Edema Joint Segmentation by
Two-Stage Network and Entropy Minimization.- Retinal Nerve Fiber Layer Defect
Detection With Position Guidance.- An Elastic Interaction Based-Loss Function
for Medical Image Segmentation.- Retinal Image Segmentation with a
Structure-Texture Demixing Network.- BEFD: Boundary Enhancement and Feature
Denoising for Vessel Segmentation.- Boosting Connectivity in Retinal Vessel
Segmentation via a Recursive Semantics-Guided Network.- RVSeg-Net: an
Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation-