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; 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

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

Zhu LQ; Ma MY; Zhang Z; Zhang PY; Wu W; Wang DD; Zhang DX; Wang X; Wang HY, 2017, 'Hybrid deep learning for automated lepidopteran insect image classification', Oriental Insects, 51, pp. 79 - 91, http://dx.doi.org/10.1080/00305316.2016.1252805

Qu Z; Wang D; Ma Y, 2017, 'Nondiffusive thermal transport and prediction of the breakdown of Fourier's law in nanograting experiments', AIP Advances, 7, http://dx.doi.org/10.1063/1.4973331

Wang D; Zhu ZM; Tu YL; Dou CQ; Xu Y; Tan XL; Han MM; Yang ZJ; Jin X; Zhang B; Cai S; Liu ZW, 2016, 'Identfication of key miRNAs in pancreatitis using bioinformatics analysis of microarray data', Molecular Medicine Reports, 14, pp. 5451 - 5460, http://dx.doi.org/10.3892/mmr.2016.5928

Zhu L; Wang X; Wang D; Wang H, 2016, 'Single image depth estimation based on convolutional neural network and sparse connected conditional random field', Optical Engineering, 55, http://dx.doi.org/10.1117/1.OE.55.10.103101

Balez R; Steiner N; Engel M; Muñoz SS; Lum JS; Wu Y; Wang D; Vallotton P; Sachdev P; O'Connor M; Sidhu K; Münch G; Ooi L, 2016, 'Neuroprotective effects of apigenin against inflammation, neuronal excitability and apoptosis in an induced pluripotent stem cell model of Alzheimer's disease', Scientific Reports, 6, pp. 31450, http://dx.doi.org/10.1038/srep31450

Tan H; Fu Y; Wang DD; Zhang X; Xiao TQ, 2016, 'Quantitative analysis of 3D vasculature for evaluation of angiogenesis in liver fibrosis with SR-μCT', Nuclear Science and Techniques, 27, http://dx.doi.org/10.1007/s41365-016-0121-7

Li X; Luo S; Hu Q; Li J; Wang D; Chiong F, 2016, 'Automatic lung field segmentation in x-ray radiographs using statistical shape and appearance models', Journal of Medical Imaging and Health Informatics, 6, pp. 338 - 348, http://dx.doi.org/10.1166/jmihi.2016.1714

Wang D; Qu Z; Ma Y, 2016, 'An enhanced Gray model for nondiffusive heat conduction solved by implicit lattice Boltzmann method', International Journal of Heat and Mass Transfer, 94, pp. 411 - 418, http://dx.doi.org/10.1016/j.ijheatmasstransfer.2015.11.003

Wang D; Bischof L; Lagerstrom R; Hilsenstein V; Hornabrook A; Hornabrook G, 2016, 'Automated Opal Grading by Imaging and Statistical Learning', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46, pp. 185 - 201, http://dx.doi.org/10.1109/TSMC.2015.2427776

Tan H; Wang D; Li R; Sun C; Lagerstrom R; He Y; Xue Y; Xiao T, 2016, 'A robust method for high-precision quantification of the complex three-dimensional vasculatures acquired by X-ray microtomography', Journal of Synchrotron Radiation, 23, pp. 1216 - 1226, http://dx.doi.org/10.1107/S1600577516011498

Wang DD; Liu ZW; Han MM; Zhu ZM; Tu YL; Dou CQ; Xin J; Wang CS; Nan D, 2016, 'Erratum: Microarray based analysis of gene expression patterns in pancreatic neuroendocrine tumors (European Review for Medical and Pharmacological Sciences (2015) 19:18 (3367-3374))', European Review for Medical and Pharmacological Sciences, 20, pp. 788

Qi Y; Wang D; Wang D; Jin T; Yang L; Wu H; Li Y; Zhao J; Du F; Song M; Wang R, 2016, 'HEDD: The human epigenetic drug database', Database, 2016, http://dx.doi.org/10.1093/database/baw159

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