# | Title | Journal | Year | Citations |
---|
1 | Brief review of image denoising techniques | Visual Computing for Industry, Biomedicine, and Art | 2019 | 286 |
2 | Systematic review and meta-analysis of augmented reality in medicine, retail, and games | Visual Computing for Industry, Biomedicine, and Art | 2020 | 81 |
3 | A review of the design methods of complex topology structures for 3D printing | Visual Computing for Industry, Biomedicine, and Art | 2018 | 69 |
4 | Robustness of radiomic features in magnetic resonance imaging: review and a phantom study | Visual Computing for Industry, Biomedicine, and Art | 2019 | 68 |
5 | Image-based camera localization: an overview | Visual Computing for Industry, Biomedicine, and Art | 2018 | 54 |
6 | Convolutional neural network for breast cancer diagnosis using diffuse optical tomography | Visual Computing for Industry, Biomedicine, and Art | 2019 | 48 |
7 | Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention | Visual Computing for Industry, Biomedicine, and Art | 2021 | 46 |
8 | A comprehensive review of machine learning techniques on diabetes detection | Visual Computing for Industry, Biomedicine, and Art | 2021 | 34 |
9 | Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning | Visual Computing for Industry, Biomedicine, and Art | 2019 | 32 |
10 | Recent methodology advances in fluorescence molecular tomography | Visual Computing for Industry, Biomedicine, and Art | 2018 | 29 |
11 | Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy | Visual Computing for Industry, Biomedicine, and Art | 2019 | 28 |
12 | Recent developments of the reconstruction in magnetic particle imaging | Visual Computing for Industry, Biomedicine, and Art | 2022 | 24 |
13 | Assessing performance of augmented reality-based neurosurgical training | Visual Computing for Industry, Biomedicine, and Art | 2019 | 23 |
14 | Adaptive deep learning for head and neck cancer detection using hyperspectral imaging | Visual Computing for Industry, Biomedicine, and Art | 2019 | 23 |
15 | Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease | Visual Computing for Industry, Biomedicine, and Art | 2020 | 23 |
16 | Skin lesion classification system using a K-nearest neighbor algorithm | Visual Computing for Industry, Biomedicine, and Art | 2022 | 22 |
17 | Towards additive manufacturing oriented geometric modeling using implicit functions | Visual Computing for Industry, Biomedicine, and Art | 2018 | 21 |
18 | High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging | Visual Computing for Industry, Biomedicine, and Art | 2021 | 21 |
19 | Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic | Visual Computing for Industry, Biomedicine, and Art | 2021 | 21 |
20 | Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations | Visual Computing for Industry, Biomedicine, and Art | 2021 | 20 |
21 | Conversion of adverse data corpus to shrewd output using sampling metrics | Visual Computing for Industry, Biomedicine, and Art | 2020 | 20 |
22 | Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology | Visual Computing for Industry, Biomedicine, and Art | 2020 | 19 |
23 | Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor | Visual Computing for Industry, Biomedicine, and Art | 2022 | 19 |
24 | Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector | Visual Computing for Industry, Biomedicine, and Art | 2021 | 18 |
25 | Modeling and simulation of an anatomy teaching system | Visual Computing for Industry, Biomedicine, and Art | 2019 | 17 |
26 | Facial expression recognition using three-stage support vector machines | Visual Computing for Industry, Biomedicine, and Art | 2019 | 17 |
27 | Review of light field technologies | Visual Computing for Industry, Biomedicine, and Art | 2021 | 17 |
28 | Computational aesthetics and applications | Visual Computing for Industry, Biomedicine, and Art | 2018 | 16 |
29 | Review of heterogeneous material objects modeling in additive manufacturing | Visual Computing for Industry, Biomedicine, and Art | 2020 | 16 |
30 | A survey: which features are required for dynamic visual simultaneous localization and mapping? | Visual Computing for Industry, Biomedicine, and Art | 2021 | 15 |
31 | Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation | Visual Computing for Industry, Biomedicine, and Art | 2021 | 14 |
32 | Acral melanoma detection using dermoscopic images and convolutional neural networks | Visual Computing for Industry, Biomedicine, and Art | 2021 | 13 |
33 | Fused behavior recognition model based on attention mechanism | Visual Computing for Industry, Biomedicine, and Art | 2020 | 11 |
34 | Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography | Visual Computing for Industry, Biomedicine, and Art | 2021 | 11 |
35 | DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images | Visual Computing for Industry, Biomedicine, and Art | 2022 | 11 |
36 | Slicing and support structure generation for 3D printing directly on B-rep models | Visual Computing for Industry, Biomedicine, and Art | 2019 | 9 |
37 | Multi-scale characterizations of colon polyps via computed tomographic colonography | Visual Computing for Industry, Biomedicine, and Art | 2019 | 9 |
38 | Preoperative prediction of lymph node metastasis using deep learning-based features | Visual Computing for Industry, Biomedicine, and Art | 2022 | 9 |
39 | Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions | Visual Computing for Industry, Biomedicine, and Art | 2022 | 9 |
40 | Fiber laser technologies for photoacoustic microscopy | Visual Computing for Industry, Biomedicine, and Art | 2021 | 8 |
41 | Novel indoor positioning system based on ultra-wide bandwidth | Visual Computing for Industry, Biomedicine, and Art | 2020 | 8 |
42 | Concurrent photoacoustic and ultrasound microscopy with a coaxial dual-element ultrasonic transducer | Visual Computing for Industry, Biomedicine, and Art | 2018 | 7 |
43 | Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning | Visual Computing for Industry, Biomedicine, and Art | 2019 | 7 |
44 | Visual order of Chinese ink paintings | Visual Computing for Industry, Biomedicine, and Art | 2020 | 7 |
45 | Examining data visualization pitfalls in scientific publications | Visual Computing for Industry, Biomedicine, and Art | 2021 | 7 |
46 | A non-uniform allowance allocation method based on interim state stiffness of machining features for NC programming of structural parts | Visual Computing for Industry, Biomedicine, and Art | 2018 | 6 |
47 | An efficient data structure for calculation of unstructured T-spline surfaces | Visual Computing for Industry, Biomedicine, and Art | 2019 | 6 |
48 | Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain | Visual Computing for Industry, Biomedicine, and Art | 2019 | 6 |
49 | Classes of tree-based networks | Visual Computing for Industry, Biomedicine, and Art | 2020 | 6 |
50 | Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy | Visual Computing for Industry, Biomedicine, and Art | 2020 | 6 |