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DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks

Bioinformatics, 2019-09, Vol.35 (18), p.3329-3338

2019

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Pathogenesis and pathophysiology of idiopathic normal pressure hydrocephalus

CNS neuroscience & therapeutics, 2020-12, Vol.26 (12), p.1230-1240

2020

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Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition

International journal of computer vision, 2021-05, Vol.129 (5), p.1768-1786

2021

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A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives

International journal of computer vision, 2021-04, Vol.129 (4), p.1301-1322

2021

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Troubleshooting image segmentation models with human-in-the-loop

Machine learning, 2023-03, Vol.112 (3), p.1033-1051

2023

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Abstract 18776: ECG-GPT: Automated Complete Diagnosis Generation From ECG Images Using Novel Vision-Text Transformer Model

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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IC‐P‐025: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_1), p.P30-P31

2018

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P2‐073: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_12), p.P695-P695

2018

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Abstract 13659: Automated Detection of Aortic Stenosis From Single-View 2-Dimensional Echocardiography Using a Semi-Supervised, Contrastive Learning Approach

Circulation (New York, N.Y.), 2022-11, Vol.146 (Suppl_1)

2022

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Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Journal of the American Medical Informatics Association : JAMIA, 2024-04, Vol.31 (4), p.855-865

2024

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Severe aortic stenosis detection by deep learning applied to echocardiography

European heart journal, 2023-11, Vol.44 (43), p.4592-4604

2023

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Increasing brain N-acetylneuraminic acid alleviates hydrocephalus-induced neurological deficits

CNS neuroscience & therapeutics, 2023-11, Vol.29 (11), p.3183-3198

2023

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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Medical image analysis, 2024-10, Vol.97, p.103224, Article 103224

2024

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QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P315-P316

2018

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P2‐073: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_12)

2018

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P1‐118: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_5), p.P315-P316

2018

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FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P695-P695

2018

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FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P30-P31

2018

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IC‐P‐026: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET IMAGES WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_1), p.P31-P31

2018

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IC‐P‐025: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_1)

2018

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QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET IMAGES WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P31-P31

2018

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Lesion-Based Radiomics Signature in Pretherapy 18F-FDG PET Predicts Treatment Response to Ibrutinib in Lymphoma

Clinical nuclear medicine, 2022-03, Vol.47 (3), p.209-218

2022

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A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

JAMA cardiology, 2024-06

2024

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Changes in platelet parameters and secondary brain injury in acute craniocerebral trauma

中国神经再生研究（英文版）, 2011-07, Vol.6 (20), p.1543-1547

Xiaoping Tang Chao You Hua Peng Tao Zhang Wenguo Tang Jian Qi Renguo Luo Yuanchuan Wang Ling Feng Zhangyang Gou Junwei Duan Shun Li

2011

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Primary angiomatoid fibrous histiocytoma of the mandible with EWSR1-ATF1 fusion in an adult patient: case report and review of literature

Oral surgery, oral medicine, oral pathology and oral radiology, 2023-09, Vol.136 (3), p.e116-e122

2023

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DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks

Pathogenesis and pathophysiology of idiopathic normal pressure hydrocephalus

Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition

A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives

Troubleshooting image segmentation models with human-in-the-loop

Abstract 18776: ECG-GPT: Automated Complete Diagnosis Generation From ECG Images Using Novel Vision-Text Transformer Model

IC‐P‐025: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

P2‐073: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Abstract 13659: Automated Detection of Aortic Stenosis From Single-View 2-Dimensional Echocardiography Using a Semi-Supervised, Contrastive Learning Approach

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Severe aortic stenosis detection by deep learning applied to echocardiography

Increasing brain N-acetylneuraminic acid alleviates hydrocephalus-induced neurological deficits

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

P2‐073: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

P1‐118: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

IC‐P‐026: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET IMAGES WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

IC‐P‐025: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET IMAGES WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Lesion-Based Radiomics Signature in Pretherapy 18F-FDG PET Predicts Treatment Response to Ibrutinib in Lymphoma

A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

Changes in platelet parameters and secondary brain injury in acute craniocerebral trauma

Primary angiomatoid fibrous histiocytoma of the mandible with EWSR1-ATF1 fusion in an adult patient: case report and review of literature

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