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09/05/2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
The segmentation of kidney layer structures, including cortex, outer str...
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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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08/18/2023
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction
Cancer prognosis and survival outcome predictions are crucial for therap...
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08/17/2023
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation
Eosinophilic esophagitis (EoE) is a chronic and relapsing disease charac...
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08/11/2023
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis
Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated eso...
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08/10/2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Podocytes, specialized epithelial cells that envelop the glomerular capi...
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08/10/2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
Precise identification of multiple cell classes in high-resolution Giga-...
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08/10/2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology
When dealing with giga-pixel digital pathology in whole-slide imaging, a...
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08/10/2023
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Segmentation of microvascular structures, such as arterioles, venules, a...
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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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07/01/2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
The Segment Anything Model (SAM) is a recently proposed prompt-based seg...
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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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05/19/2023
An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration
Tissue examination and quantification in a 3D context on serial section ...
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04/24/2023
Exploring shared memory architectures for end-to-end gigapixel deep learning
Deep learning has made great strides in medical imaging, enabled by hard...
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04/09/2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
The segment anything model (SAM) was released as a foundation model for ...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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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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08/15/2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Multi-instance learning (MIL) is widely used in the computer-aided inter...
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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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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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10/22/2021
Circle Representation for Medical Object Detection
Box representation has been extensively used for object detection in com...
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07/19/2021
Compound Figure Separation of Biomedical Images with Side Loss
Unsupervised learning algorithms (e.g., self-supervised learning, auto-e...
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06/22/2021
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
Recent advances in bioimaging have provided scientists a superior high s...
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03/09/2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Contrastive learning is a key technique of modern self-supervised learni...
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01/16/2021
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation
The classification of glomerular lesions is a routine and essential task...
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01/03/2021
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations
Quantitative analysis of microscope videos often requires instance segme...
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11/02/2020
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis
Instance object segmentation and tracking provide comprehensive quantifi...
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11/02/2020
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
Weakly supervised learning has been rapidly advanced in biomedical image...
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07/28/2020
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
Considerable morphological phenotyping studies in nephrology have emerge...
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07/07/2020
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
Automatic instance segmentation of glomeruli within kidney Whole Slide I...
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06/10/2020
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images
There has been a long pursuit for precise and reproducible glomerular qu...
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06/03/2020
