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07/21/2023
Digital Modeling on Large Kernel Metamaterial Neural Network
Deep neural networks (DNNs) utilized recently are physically deployed wi...
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07/03/2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
Many anomaly detection approaches, especially deep learning methods, hav...
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06/05/2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical ima...
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05/31/2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
Multi-class cell segmentation in high-resolution Giga-pixel whole slide ...
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05/23/2023
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level
Deep-learning techniques have been used widely to alleviate the labour-i...
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11/02/2022
CircleSnake: Instance Segmentation with Circle Representation
Circle representation has recently been introduced as a medical imaging ...
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08/30/2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
With the rapid development of self-supervised learning (e.g., contrastiv...
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06/27/2022
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation
Comprehensive semantic segmentation on renal pathological images is chal...
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05/31/2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
The quantitative detection, segmentation, and characterization of glomer...
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03/25/2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
The rapid development of diagnostic technologies in healthcare is leadin...
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01/31/2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Recent studies have demonstrated the diagnostic and prognostic values of...
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01/13/2022
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images
The prediction of microsatellite instability (MSI) and microsatellite st...
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12/23/2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data
Computer-assisted quantitative analysis on Giga-pixel pathology images h...
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08/26/2021