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08/24/2023
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
Accurate classification of white blood cells in peripheral blood is esse...
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08/24/2023
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes
Accurate classification of Acute Myeloid Leukemia (AML) subtypes is cruc...
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07/26/2023
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification
Diagnosing rare anemia disorders using microscopic images is challenging...
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03/15/2023
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
Explainability is a key requirement for computer-aided diagnosis systems...
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03/14/2023
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Accurate morphological classification of white blood cells (WBCs) is an ...
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03/02/2023
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification
Multiple Instance Learning (MIL) has become the predominant approach for...
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03/02/2023
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning
In many histopathology tasks, sample classification depends on morpholog...
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08/30/2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Diffusion models are a class of generative models, showing superior perf...
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07/04/2022
Anomaly-aware multiple instance learning for rare anemia disorder classification
Deep learning-based classification of rare anemia disorders is challenge...
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07/01/2022
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
Diagnosing hematological malignancies requires identification and classi...
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06/27/2022
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
Light-sheet fluorescence microscopy (LSFM) is a cutting-edge volumetric ...
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03/03/2022
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction
Reconstructing 3D objects from 2D images is both challenging for our bra...
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09/11/2021
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Sickle cell disease (SCD) is a severe genetic hemoglobin disorder that r...
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07/26/2021
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
In digital pathology, different staining procedures and scanners cause s...
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03/17/2021
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
Hereditary hemolytic anemias are genetic disorders that affect the shape...
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07/22/2020
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
Red blood cells are highly deformable and present in various shapes. In ...
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07/08/2014