Wenqi Lu
Publications by Year
Research Areas
AI in cancer detection, Image and Signal Denoising Methods, Radiomics and Machine Learning in Medical Imaging, Optical Imaging and Spectroscopy Techniques, Photoacoustic and Ultrasonic Imaging
Most-Cited Works
- → SlideGraph + : Whole slide image level graphs to predict HER2 status in breast cancer(2022)129 cited
- → Implementation of high‐order variational models made easy for image processing(2016)121 cited
- → TIAToolbox as an end-to-end library for advanced tissue image analytics(2022)101 cited
- → Denoising optical coherence tomography using second order total generalized variation decomposition(2015)94 cited
- → U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?(2022)74 cited
- → Capturing Cellular Topology in Multi-Gigapixel Pathology Images(2020)55 cited
- → Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations(2022)52 cited
- → An edge-weighted second order variational model for image decomposition(2015)51 cited
- → Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence(2023)37 cited
- → Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography(2019)33 cited