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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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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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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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04/06/2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
The accuracy of predictive models for solitary pulmonary nodule (SPN) di...
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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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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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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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09/04/2022
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
Features learned from single radiologic images are unable to provide inf...
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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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06/02/2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, the latest technological advance of deep learning, has gain...
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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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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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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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06/03/2021
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
Contrastive learning has shown superior performance in embedding global ...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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01/07/2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Active learning is a unique abstraction of machine learning techniques w...
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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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10/19/2020
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Clinical data elements (CDEs) (e.g., age, smoking history), blood marker...
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07/28/2020
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
Recently, single-stage embedding based deep learning algorithms gain inc...
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06/28/2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Effective and non-invasive radiological imaging based tumor/lesion chara...
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06/03/2020
CircleNet: Anchor-free Detection with Circle Representation
Object detection networks are powerful in computer vision, but not neces...
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03/17/2020
The Value of Nullspace Tuning Using Partial Label Information
In semi-supervised learning, information from unlabeled examples is used...
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02/20/2020
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-i...
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02/10/2020
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
Segmentation of abdominal computed tomography(CT) provides spatial conte...
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02/10/2020
Outlier Guided Optimization of Abdominal Segmentation
Abdominal multi-organ segmentation of computed tomography (CT) images ha...
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12/16/2019
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Recently, multi-task networks have shown to both offer additional estima...
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12/06/2019
MRI correlates of chronic symptoms in mild traumatic brain injury
Veterans with mild traumatic brain injury (mTBI) have reported auditory ...
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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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11/14/2019
Contrast Phase Classification with a Generative Adversarial Network
Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
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11/13/2019
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Multiple instance learning (MIL) is a supervised learning methodology th...
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11/13/2019
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Confocal histology provides an opportunity to establish intra-voxel fibe...
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11/12/2019
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging
Annual low dose computed tomography (CT) lung screening is currently adv...
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11/12/2019
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision
Human in-the-loop quality assurance (QA) is typically performed after me...
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10/11/2019
Methods and open-source toolkit for analyzing and visualizing challenge results
Biomedical challenges have become the de facto standard for benchmarking...
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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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08/13/2019
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning
Generalizability is an important problem in deep neural networks, especi...
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07/15/2019