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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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08/17/2023
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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07/21/2023
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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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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06/12/2023
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision
Rapid developments in machine vision have led to advances in a variety o...
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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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04/07/2023
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior
Anatomically consistent field-of-view (FOV) completion to recover trunca...
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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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03/29/2023
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
Diffusion-weighted (DW) MRI measures the direction and scale of the loca...
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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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09/29/2022
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Vision transformers (ViTs) have quickly superseded convolutional network...
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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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07/13/2022
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective
Field-of-view (FOV) tissue truncation beyond the lungs is common in rout...
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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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05/12/2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation
Non-contrast computed tomography (NCCT) is commonly acquired for lung ca...
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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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03/04/2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Efficiently quantifying renal structures can provide distinct spatial co...
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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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12/13/2021
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
The detection of ancient settlements is a key focus in landscape archaeo...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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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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09/18/2021
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
Multiplex immunofluorescence (MxIF) is an emerging imaging technique tha...
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08/26/2021
Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation
Histopathology has played an essential role in cancer diagnosis. With th...
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07/27/2021
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
Image Quality Assessment (IQA) is important for scientific inquiry, espe...
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07/25/2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
Data from multi-modality provide complementary information in clinical p...
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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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06/03/2021
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
Contrastive learning has shown superior performance in embedding global ...
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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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03/04/2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Annotated medical images are typically rarer than labeled natural images...
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02/17/2021
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
Reducing outcome variance is an essential task in deep learning based me...
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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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01/04/2021
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19
The COVID-19 epidemic has been a significant healthcare challenge in the...
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01/03/2021