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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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08/10/2023
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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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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02/17/2023
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning
The Distributed Messaging Systems (DMSs) used in IoT systems require tim...
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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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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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03/04/2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Efficiently quantifying renal structures can provide distinct spatial co...
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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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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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06/03/2021
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
Contrastive learning has shown superior performance in embedding global ...
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12/23/2020
Multi-Contrast Computed Tomography Healthy Kidney Atlas
The construction of three-dimensional multi-modal tissue maps provides a...
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12/23/2020
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Performing coarse-to-fine abdominal multi-organ segmentation facilitates...
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12/05/2020
Development and Characterization of a Chest CT Atlas
A major goal of lung cancer screening is to identify individuals with pa...
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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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12/01/2019
Stochastic tissue window normalization of deep learning on computed tomography
Tissue window filtering has been widely used in deep learning for comput...
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09/11/2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
The field of lung nodule detection and cancer prediction has been rapidl...
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04/03/2019
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks
With the proliferation of machine learning (ML) libraries and frameworks...
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03/28/2019
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Detailed whole brain segmentation is an essential quantitative technique...
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02/21/2019
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics
Early detection of lung cancer is essential in reducing mortality. Recen...
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12/10/2018
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network
Brain imaging analysis on clinically acquired computed tomography (CT) i...
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11/10/2018
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning
Coronary artery calcium (CAC) is biomarker of advanced subclinical coron...
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11/09/2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
The findings of splenomegaly, abnormal enlargement of the spleen, is a n...
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10/15/2018
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
A key limitation of deep convolutional neural networks (DCNN) based imag...
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06/01/2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Whole brain segmentation on a structural magnetic resonance imaging (MRI...
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12/22/2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design
When processing large medical imaging studies, adopting high performance...
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12/20/2017
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
A lack of generalizability is one key limitation of deep learning based ...
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12/02/2017
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Whole brain segmentation and cortical surface parcellation are essential...
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12/02/2017
