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DAHONG QIAN
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Paper Publications
[1] IMAL-Net: Interpretable Multi-task Attention Learning Network for Invasive Lung Adenocarcinoma Screening in CT Images Medical Physics, 2021,
[2]DAHONG QIAN. Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021,
[3]DAHONG QIAN. C3D-UNet: A Comprehensive 3D UNet for COVID-19 Segmentation with Intact Encoding and Local Attention International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), 2021,
[4] Enhanced Rotated Mask R-CNN for Chromosome Segmentation International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), 2021,
[5]DAHONG QIAN. 3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation IEEE Journal of Biomedical and Health Informatics, 2022,
[6] Deep learning for nasopharyngeal carcinoma identification using both white light and narrow-band imaging endoscopy The Laryngoscope, 2021,
[7] Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network Journal of Shanghai Jiao Tong University (Science), 2021,
[8] Deep Multi-Instance Transfer Learning for Pneumothorax Classification in Chest X-ray Images Medical Physics, 2022,
[9] Chromosome Classification and Straightening Based on an Interleaved and Multi-task Network IEEE Journal of Biomedical and Health Informatics, 2021,
[10] Deep Multi-Instance Transfer Learning for Pneumothorax Classification in Chest X-ray Images Medical Physics, 2021,
[11] Deep learning for nasopharyngeal carcinoma identification using both white light and narrow-band imaging endoscopy The Laryngoscope, 2021,
[12] 3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation IEEE Journal of Biomedical and Health Informatics, 2021,
[13] IMAL-Net: Interpretable Multi-task Attention Learning Network for Invasive Lung Adenocarcinoma Screening in CT Images Medical Physics, 2021,
[14] Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images MICCAI Workshop on Ophthalmic Medical Image Analysis: 2021,
[15] SWnet: A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures BMC Bioinformatics, 2021,
total85 4/6
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