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 Angiography for 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-.