CVMI21
* *Computer Vision for Microscopy Image Analysis
* 3D Fiber Segmentation with Deep Center Regression and Geometric Clustering
* Hierarchical Spatial Pyramid Network For Cervical Precancerous Segmentation By Reconstructing Deep Segmentation Networks
* Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification, A
* Learning Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations
* Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery
* RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
* Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
* X-net with Different Loss Functions for Cell Image Segmentation
9 for CVMI21
CVMI22
* *Computer Vision for Microscopy Image Analysis
* BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
* Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network
* Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia
* Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation, An
* Fourier Image Transformer
* Multi stain graph fusion for multimodal integration in pathology
* Multi-Class Cell Detection Using Modified Self-Attention
* Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy
9 for CVMI22
CVMI23
* *Computer Vision for Microscopy Image Analysis
* Ensemble Method with Edge Awareness for Abnormally Shaped Nuclei Segmentation, An
* Fast Local Thickness
* Giga-SSL: Self-Supervised Learning for Gigapixel Images
* Learning to Correct Sloppy Annotations in Electron Microscopy Volumes
* New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition
* One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
* Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
* RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
* Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy, A
* Theia: Bleed-Through Estimation with Convolutional Neural Networks
11 for CVMI23