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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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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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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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06/17/2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Although deep learning prediction models have been successful in the dis...
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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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07/27/2021
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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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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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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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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11/12/2019
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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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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02/21/2019