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Medical Optical Imaging and Virtual Microscopy Image Analysis [2022]
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Cell Counting with Inverse Distance Kernel and Self-supervised Learning
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Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer
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Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation
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Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning
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MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging
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A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
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Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation
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Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models
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Profiling DNA Damage in 3D Histology Samples
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Few-Shot Segmentation of Microscopy Images Using Gaussian Process
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Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
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Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data
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Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels
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Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
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A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation
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A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of <italic>Cryptosporidium</italic> Parasite from Fluorescence Microscopic Images
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Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images
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Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images