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DAHONG QIAN
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[1] Diffuse Large B-cell Lymphoma Segmentation in PET-CT Images via Hybrid Learning for Feature Fusion Medical Physics, 2021,
[2]DAHONG QIAN. An Enhanced Coarse-to-Fine Framework for the Segmentation of Clinical Target Volume Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. MICCAI 2020. Lecture Notes in Computer Science, 2021,
[3] A Real-Time System Using Deep Learning to Detect and Track Ureteral Orifices During Urinary Endoscopy Computers in Biology and Medicine, 2021, 0(128): 0-0
[4] Extensible artificial intelligence model predicts post-ablation AF recurrence using coronary sinus electrogram EUROPEAN HEART JOURNAL, 2020, 0(41): 560-560
[5] The usefulness of imaging quantification in discriminating non-calcified pulmonary hamartoma from adenocarcinoma Frontiers in Oncology, 2020, 0(10): 581-623
[6] Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution MICCAI 2020, 2020,
[7] Performance of F-18-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer FRONTIERS IN ONCOLOGY, 2020,
[8] Adaptive Context Selection for Polyp Segmentation MICCAI 2020, Lima, Peru, 2020,
[9] Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images IEEE Transactions on Medical Imaging, 2020, 8(39): 2572-2583
[10] AEC-Net: Attention and Edge Constraint Network for Medical Image Segmentation EMBC 2020, 2020, 210:
[11]DAHONG QIAN. Controllable Stiffness Origami “Skeletons” for Lightweight and Multifunctional Artificial Muscles Advanced Functional Materials, 2020,
[12] Differentiation of primary open angle-closure glaucoma and primary open angle glaucoma based on disc image with a deep learning method ARVO(Association for Research in Vision and Ophthalmology) 2020, Baltimore, MD, US,
[13] Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images MEDICAL PHYSICS, 2020,
[14] Prediction for atrial fibrillation recurrence after catheter ablation using an artificial intelligence-assisted coronary sinus electrogram AHA2019, American Heart Association, 2019,
[15] ISDNet: Importance Guided Semi-supervised Adversarial Learning for Medical Image Segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (ICIG 2019), 0(11902 LNCS): 459-470
total72 4/5
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