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Medical Optical Imaging and Virtual Microscopy Image Analysis [2022]

1
Cell Counting with Inverse Distance Kernel and Self-supervised Learning
2
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer
3
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation
4
Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning
5
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging
6
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
7
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation
8
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models
9
Profiling DNA Damage in 3D Histology Samples
10
Few-Shot Segmentation of Microscopy Images Using Gaussian Process
11
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
12
Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data
13
Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels
14
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
15
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation
16
A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of <italic>Cryptosporidium</italic> Parasite from Fluorescence Microscopic Images
17
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images
18
Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images
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