By Dr Dadong Wang

Books

Sun C; Bednarz T; Pham TD; Vallotton P; Wang D, 2015, Signal and Image Analysis for Biomedical and Life Sciences, Springer

Book Chapters

Xu H; Wang D; Sowmya A; Katz I, 2023, 'Detection of Basal Cell Carcinoma in Whole Slide Images', in , pp. 263 - 272, http://dx.doi.org/10.1007/978-3-031-43987-2_26

Anders Westling F; Sun C; Wang D; Irfan Alam F, 2018, 'Fish counting and measurement: A modular framework and implementation', in Computer Vision: Concepts, Methodologies, Tools, and Applications, pp. 1500 - 1516, http://dx.doi.org/10.4018/978-1-5225-5204-8.ch062

Westling FA; Sun C; Wang D; Alam FI, 2015, 'Fish counting and measurement: A modular framework and implementation', in Computer Vision and Pattern Recognition in Environmental Informatics, pp. 41 - 57, http://dx.doi.org/10.4018/978-1-4666-9435-4.ch003

Bednarz TP; Wang D; Arzhaeva Y; Lagerstrom R; Vallotton P; Burdett N; Khassapov A; Szul P; Chen S; Sun C; Domanski L; Thompson D; Gureyev T; Taylor JA, 2014, 'Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks', in Sun C; Bednarz T; Pham T; Vallotton P; Wang D (ed.), Signal and Image Analysis for Biomedical and Life Sciences, Springer, Cham, pp. 191 - 205, http://dx.doi.org/10.1007/978-3-319-10984-8_11

Domanski L; Sun C; Lagerstrom R; Wang D; Bischof L; Payne M; Vallotton P, 2011, 'High-Throughput Detection of Linear Features: Selected Applications in Biological Imaging', in Dougherty G (ed.), MEDICAL IMAGE PROCESSING: TECHNIQUES AND APPLICATIONS, SPRINGER, pp. 167 - 191, http://dx.doi.org/10.1007/978-1-4419-9779-1_8

Edited Books

Sun C; Bednarz T; Pham TD; Vallotton P; Wang D, (eds.), 2015, Signal and Image Analysis for Biomedical and Life Sciences, Springer, http://link.springer.com/book/10.1007/978-3-319-10984-8

Journal articles

Alam MS; Wang D; Arzhaeva Y; Ende JA; Kao J; Silverstone L; Yates D; Salvado O; Sowmya A, 2024, 'Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-79494-w

Zheng Q; Wang C; Wang D, 2024, 'Bypass network for semantics driven image paragraph captioning', Computer Vision and Image Understanding, 249, http://dx.doi.org/10.1016/j.cviu.2024.104154

Alam MS; Wang D; Sowmya A, 2024, 'DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-61024-3

Saqib M; Khokher MR; Yuan X; Yan B; Bearham D; Devine C; Untiedt C; Cannard T; Maguire K; Tuck GN; Little LR; Wang D, 2024, 'Fishing event detection and species classification using computer vision and artificial intelligence for electronic monitoring', Fisheries Research, 280, http://dx.doi.org/10.1016/j.fishres.2024.107141

Alam MS; Wang D; Sowmya A, 2024, 'AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images', Artificial Intelligence in Medicine, 154, http://dx.doi.org/10.1016/j.artmed.2024.102917

Acharya D; Saqib M; Devine C; Untiedt C; Little LR; Wang D; Tuck GN, 2024, 'Using deep learning to automate the detection of bird scaring lines on fishing vessels', Biological Conservation, 296, http://dx.doi.org/10.1016/j.biocon.2024.110713

Acharya D; Farazi M; Rolland V; Petersson L; Rosebrock U; Smith D; Ford J; Wang D; Tuck GN; Little LR; Wilcox C, 2024, 'Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system', Fisheries Research, 272, http://dx.doi.org/10.1016/j.fishres.2024.106939

Saifeldin H; Osorio J; Xi M; Safwat B; Khokher MR; Li S; Ashmawy M; Shalaby L; Khela S; Le S; Le K; Wang D, 2024, 'Accuracy of Eyes of AITM Artificial Intelligence-Driven Platform for Lateral Cephalometric Analysis', Ain Shams Dental Journal (Egypt), 33, pp. 1 - 10, http://dx.doi.org/10.21608/asdj.2024.277176.1229

Liu C; Li P; Zhang H; Li L; Huang Z; Wang D; Yu X, 2024, 'BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge', IEEE Transactions on Multimedia, 26, pp. 10015 - 10028, http://dx.doi.org/10.1109/TMM.2024.3405622

Zheng Q; Liu D; Wang C; Zhang J; Wang D; Tao D, 2024, 'ESceme: Vision-and-Language Navigation with Episodic Scene Memory', International Journal of Computer Vision, http://dx.doi.org/10.1007/s11263-024-02159-8

Lin K; Wen W; Lipnicki DM; Mewton L; Chen R; Du J; Wang D; Skoog I; Sterner TR; Najar J; Kim KW; Han JW; Kim JS; Ng TP; Ho R; Chua DQL; Anstey KJ; Cherbuin N; Mortby ME; Brodaty H; Kochan N; Sachdev PS; Jiang J, 2024, 'Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: The COSMIC consortium', Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 16, pp. e12567, http://dx.doi.org/10.1002/dad2.12567

Alam MS; Wang D; Liao Q; Sowmya A, 2023, 'A Multi-Scale Context Aware Attention Model for Medical Image Segmentation', IEEE Journal of Biomedical and Health Informatics, 27, pp. 3731 - 3739, http://dx.doi.org/10.1109/JBHI.2022.3227540

Ahmedt-Aristizabal D; Nguyen C; Tychsen-Smith L; Stacey A; Li S; Pathikulangara J; Petersson L; Wang D, 2023, 'Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging', Computer Methods and Programs in Biomedicine, 232, http://dx.doi.org/10.1016/j.cmpb.2023.107451

Liu H; Wang D; Xu K; Zhou P; Zhou D, 2023, 'Lightweight convolutional neural network for counting densely piled steel bars', Automation in Construction, 146, http://dx.doi.org/10.1016/j.autcon.2022.104692

Zheng Q; Wang CY; Wang D; Tao DC, 2023, 'Visual Superordinate Abstraction for Robust Concept Learning', Machine Intelligence Research, 20, pp. 79 - 91, http://dx.doi.org/10.1007/s11633-022-1360-1

Khokher MR; Liao Q; Smith AL; Sun C; MacKenzie D; Thomas MR; Wang D; Edwards EJ, 2023, 'Early Yield Estimation in Viticulture Based on Grapevine Inflorescence Detection and Counting in Videos', IEEE Access, 11, pp. 37790 - 37808, http://dx.doi.org/10.1109/ACCESS.2023.3263238

Ji Z; Liu X; Song Y; Zhong Y; Wang D; Chen B; Fang M; Nie X; Hou J; Ma J; Ma H; Xu X; Yi Z; Xu X, 2022, 'Space-Confined seeding and growth of ordered arrays of TiO2 hierarchical nanostructures', JOURNAL OF COLLOID AND INTERFACE SCIENCE, 630, pp. 436 - 443, http://dx.doi.org/10.1016/j.jcis.2022.10.125

Jiang J; Wang D; Song Y; Sachdev PS; Wen W, 2022, 'Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review', NeuroImage, 261, pp. 119528, http://dx.doi.org/10.1016/j.neuroimage.2022.119528

Devnath L; Luo S; Summons P; Wang D; Shaukat K; Hameed IA; Alrayes FS, 2022, 'Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography', Journal of Clinical Medicine, 11, http://dx.doi.org/10.3390/jcm11185342

Devnath L; Fan Z; Luo S; Summons P; Wang D, 2022, 'Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays', International Journal of Environmental Research and Public Health, 19, http://dx.doi.org/10.3390/ijerph191811193

Devnath L; Summons P; Luo S; Wang D; Shaukat K; Hameed IA; Aljuaid H, 2022, 'Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review', International Journal of Environmental Research and Public Health, 19, http://dx.doi.org/10.3390/ijerph19116439

Liao Q; Wang D; Xu M, 2022, 'Category attention transfer for efficient fine-grained visual categorization', Pattern Recognition Letters, 153, pp. 10 - 15, http://dx.doi.org/10.1016/j.patrec.2021.11.015

Khokher MR; Little LR; Tuck GN; Smith DV; Qiao M; Devine C; O’neill H; Pogonoski JJ; Arangio R; Wang D, 2022, 'Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing', Canadian Journal of Fisheries and Aquatic Sciences, 79, pp. 257 - 266, http://dx.doi.org/10.1139/cjfas-2020-0446

Xu Y; Yu X; Zhang J; Zhu L; Wang D, 2022, 'Weakly Supervised RGB-D Salient Object Detection with Prediction Consistency Training and Active Scribble Boosting', IEEE Transactions on Image Processing, 31, pp. 2148 - 2161, http://dx.doi.org/10.1109/TIP.2022.3151999

Zhu L; Wen X; Mo L; Ma J; Wang D, 2021, 'Robust location-secured high-definition image watermarking based on key-point detection and deep learning', Optik, 248, http://dx.doi.org/10.1016/j.ijleo.2021.168194

Wang D; Wang JG; Xu K, 2021, 'Deep learning for object detection, classification and tracking in industry applications', Sensors, 21, http://dx.doi.org/10.3390/s21217349

Amirgholipour S; Jia W; Liu L; Fan X; Wang D; He X, 2021, 'PDANet: Pyramid density-aware attention based network for accurate crowd counting', Neurocomputing, 451, pp. 215 - 230, http://dx.doi.org/10.1016/j.neucom.2021.04.037

Lopez-Marcano S; L. Jinks E; Buelow CA; Brown CJ; Wang D; Kusy B; M. Ditria E; Connolly RM, 2021, 'Automatic detection of fish and tracking of movement for ecology', Ecology and Evolution, 11, pp. 8254 - 8263, http://dx.doi.org/10.1002/ece3.7656

Zong X; Chen Z; Wang D, 2021, 'Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment', Applied Intelligence, 51, pp. 1947 - 1958, http://dx.doi.org/10.1007/s10489-020-01931-w

Ke J; Shen Y; Lu Y; Deng J; Wright JD; Zhang Y; Huang Q; Wang D; Jing N; Liang X; Jiang F, 2021, 'Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning', Laboratory Investigation, 101, pp. 513 - 524, http://dx.doi.org/10.1038/s41374-021-00537-1

Devnath L; Luo S; Summons P; Wang D, 2021, 'Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs', Computers in Biology and Medicine, 129, pp. 104125, http://dx.doi.org/10.1016/j.compbiomed.2020.104125

Qiao M; Wang D; Tuck GN; Little LR; Punt AE; Gerner M, 2021, 'Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing', ICES Journal of Marine Science, 78, pp. 25 - 35, http://dx.doi.org/10.1093/icesjms/fsaa158

Mo L; Zhu L; Ma J; Wang D; Wang H, 2021, 'MDRSteg: Large-capacity image steganography based on multi-scale dilated ResNet and combined chi-square distance loss', Journal of Electronic Imaging, 30, pp. 013018 - 013018, http://dx.doi.org/10.1117/1.JEI.30.1.013018

Sanicola HW; Stewart CE; Mueller M; Ahmadi F; Wang D; Powell SK; Sarkar K; Cutbush K; Woodruff MA; Brafman DA, 2020, 'Guidelines for establishing a 3-D printing biofabrication laboratory', Biotechnology Advances, 45, pp. 107652, http://dx.doi.org/10.1016/j.biotechadv.2020.107652

Stewart CE; Kan CFK; Stewart BR; Sanicola HW; Jung JP; Sulaiman OAR; Wang D, 2020, 'Machine intelligence for nerve conduit design and production', Journal of Biological Engineering, 14, pp. 25, http://dx.doi.org/10.1186/s13036-020-00245-2

Dai M; Xiao G; Cheng S; Wang D; He X, 2020, 'Structural correlation filters combined with a Gaussian particle filter for hierarchical visual tracking', Neurocomputing, 398, pp. 235 - 246, http://dx.doi.org/10.1016/j.neucom.2020.02.095

Dai M; Cheng S; He X; Wang D, 2019, 'Object tracking in the presence of shaking motions', Neural Computing and Applications, 31, pp. 5917 - 5934, http://dx.doi.org/10.1007/s00521-018-3387-3

He D; Xu K; Wang D, 2019, 'Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels', Image and Vision Computing, 89, pp. 12 - 20, http://dx.doi.org/10.1016/j.imavis.2019.06.008

Chen J; Cao X; Wang D; Wang L; Niu B; Yu Q; Zheng J; He Y, 2019, 'Localized Video Coding', Journal of Signal Processing Systems, 91, pp. 641 - 649, http://dx.doi.org/10.1007/s11265-018-1366-7

Liu Y; Xu K; Wang D, 2018, 'Online surface defect identification of cold rolled strips based on local binary pattern and extreme learning machine', Metals, 8, http://dx.doi.org/10.3390/met8030197

Zhou P; Xu K; Wang D, 2018, 'Rail Profile Measurement Based on Line-structured Light Vision', IEEE Access, 6, pp. 16423 - 16431, http://dx.doi.org/10.1109/ACCESS.2018.2813319

Zhang S; Tang GJ; Liu XH; Luo SH; Wang DD, 2018, 'Retinex based low-light image enhancement using guided filtering and variational framework', Optoelectronics Letters, 14, pp. 156 - 160, http://dx.doi.org/10.1007/s11801-018-7208-9

Wang DD; Duan WD; Zhu ZM; Tu YL; Dou CQ; Han MM; Zhang B; Zhao W; Jiang K, 2018, 'CCND1 rs9344 polymorphism is associated with the risk of hepatocellular carcinoma in Caucasian population', Journal of Cancer Research and Therapeutics, 14, pp. S516 - S518, http://dx.doi.org/10.4103/0973-1482.203598

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