| # | 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 | Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential | Visual Computing for Industry, Biomedicine, and Art | 2023 | 62 |
| 6 | Image-based camera localization: an overview | Visual Computing for Industry, Biomedicine, and Art | 2018 | 54 |
| 7 | Convolutional neural network for breast cancer diagnosis using diffuse optical tomography | Visual Computing for Industry, Biomedicine, and Art | 2019 | 48 |
| 8 | Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention | Visual Computing for Industry, Biomedicine, and Art | 2021 | 46 |
| 9 | A comprehensive review of machine learning techniques on diabetes detection | Visual Computing for Industry, Biomedicine, and Art | 2021 | 34 |
| 10 | 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 |
| 11 | Recent methodology advances in fluorescence molecular tomography | Visual Computing for Industry, Biomedicine, and Art | 2018 | 29 |
| 12 | Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy | Visual Computing for Industry, Biomedicine, and Art | 2019 | 28 |
| 13 | Recent developments of the reconstruction in magnetic particle imaging | Visual Computing for Industry, Biomedicine, and Art | 2022 | 24 |
| 14 | Assessing performance of augmented reality-based neurosurgical training | Visual Computing for Industry, Biomedicine, and Art | 2019 | 23 |
| 15 | Adaptive deep learning for head and neck cancer detection using hyperspectral imaging | Visual Computing for Industry, Biomedicine, and Art | 2019 | 23 |
| 16 | Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease | Visual Computing for Industry, Biomedicine, and Art | 2020 | 23 |
| 17 | Skin lesion classification system using a K-nearest neighbor algorithm | Visual Computing for Industry, Biomedicine, and Art | 2022 | 22 |
| 18 | Towards additive manufacturing oriented geometric modeling using implicit functions | Visual Computing for Industry, Biomedicine, and Art | 2018 | 21 |
| 19 | High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging | Visual Computing for Industry, Biomedicine, and Art | 2021 | 21 |
| 20 | Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic | Visual Computing for Industry, Biomedicine, and Art | 2021 | 21 |
| 21 | Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations | Visual Computing for Industry, Biomedicine, and Art | 2021 | 20 |
| 22 | Conversion of adverse data corpus to shrewd output using sampling metrics | Visual Computing for Industry, Biomedicine, and Art | 2020 | 20 |
| 23 | Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology | Visual Computing for Industry, Biomedicine, and Art | 2020 | 19 |
| 24 | 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 |
| 25 | 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 |
| 26 | Modeling and simulation of an anatomy teaching system | Visual Computing for Industry, Biomedicine, and Art | 2019 | 17 |
| 27 | Facial expression recognition using three-stage support vector machines | Visual Computing for Industry, Biomedicine, and Art | 2019 | 17 |
| 28 | Review of light field technologies | Visual Computing for Industry, Biomedicine, and Art | 2021 | 17 |
| 29 | Computational aesthetics and applications | Visual Computing for Industry, Biomedicine, and Art | 2018 | 16 |
| 30 | Review of heterogeneous material objects modeling in additive manufacturing | Visual Computing for Industry, Biomedicine, and Art | 2020 | 16 |
| 31 | A survey: which features are required for dynamic visual simultaneous localization and mapping? | Visual Computing for Industry, Biomedicine, and Art | 2021 | 15 |
| 32 | Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation | Visual Computing for Industry, Biomedicine, and Art | 2021 | 14 |
| 33 | Acral melanoma detection using dermoscopic images and convolutional neural networks | Visual Computing for Industry, Biomedicine, and Art | 2021 | 13 |
| 34 | Fused behavior recognition model based on attention mechanism | Visual Computing for Industry, Biomedicine, and Art | 2020 | 11 |
| 35 | Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography | Visual Computing for Industry, Biomedicine, and Art | 2021 | 11 |
| 36 | DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images | Visual Computing for Industry, Biomedicine, and Art | 2022 | 11 |
| 37 | Slicing and support structure generation for 3D printing directly on B-rep models | Visual Computing for Industry, Biomedicine, and Art | 2019 | 9 |
| 38 | Multi-scale characterizations of colon polyps via computed tomographic colonography | Visual Computing for Industry, Biomedicine, and Art | 2019 | 9 |
| 39 | Preoperative prediction of lymph node metastasis using deep learning-based features | Visual Computing for Industry, Biomedicine, and Art | 2022 | 9 |
| 40 | Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions | Visual Computing for Industry, Biomedicine, and Art | 2022 | 9 |
| 41 | Systematic review of digital twin technology and applications | Visual Computing for Industry, Biomedicine, and Art | 2023 | 9 |
| 42 | Fiber laser technologies for photoacoustic microscopy | Visual Computing for Industry, Biomedicine, and Art | 2021 | 8 |
| 43 | Novel indoor positioning system based on ultra-wide bandwidth | Visual Computing for Industry, Biomedicine, and Art | 2020 | 8 |
| 44 | Concurrent photoacoustic and ultrasound microscopy with a coaxial dual-element ultrasonic transducer | Visual Computing for Industry, Biomedicine, and Art | 2018 | 7 |
| 45 | 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 |
| 46 | Visual order of Chinese ink paintings | Visual Computing for Industry, Biomedicine, and Art | 2020 | 7 |
| 47 | Examining data visualization pitfalls in scientific publications | Visual Computing for Industry, Biomedicine, and Art | 2021 | 7 |
| 48 | 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 |
| 49 | An efficient data structure for calculation of unstructured T-spline surfaces | Visual Computing for Industry, Biomedicine, and Art | 2019 | 6 |
| 50 | Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain | Visual Computing for Industry, Biomedicine, and Art | 2019 | 6 |
