| Anomaly detection via reverse distillation from one-class embedding H Deng, X Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 549 | 2022 |
| Generating diverse and natural 3d human motions from text C Guo, S Zou, X Zuo, S Wang, W Ji, X Li, L Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 517 | 2022 |
| A complete color normalization approach to histopathology images using color cues computed from saturation-weighted statistics X Li, KN Plataniotis IEEE Transactions on Biomedical Engineering 62 (7), 1862-1873, 2015 | 148 | 2015 |
| Discriminative pattern mining for breast cancer histopathology image classification via fully convolutional autoencoder X Li, M Radulovic, K Kanjer, KN Plataniotis IEEE Access 7, 36433-36445, 2019 | 68 | 2019 |
| Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy MT Martell, NJM Haven, BD Cikaluk, BS Restall, EA McAlister, R Mittal, ... Nature Communications 14 (1), 5967, 2023 | 35 | 2023 |
| Bi-directional frame interpolation for unsupervised video anomaly detection H Deng, Z Zhang, S Zou, X Li Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 32 | 2023 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 32 | 2022 |
| Anovl: Adapting vision-language models for unified zero-shot anomaly localization H Deng, Z Zhang, J Bao, X Li arXiv preprint arXiv:2308.15939v1, 2023 | 31 | 2023 |
| Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning H Liang, KN Plataniotis, X Li Machine Learning for Medical Image Reconstruction, 2020 | 31 | 2020 |
| Bmad: Benchmarks for medical anomaly detection J Bao, H Sun, H Deng, Y He, Z Zhang, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| Circular mixture modeling of color distribution for blind stain separation in pathology images X Li, KN Plataniotis IEEE journal of biomedical and health informatics 21 (1), 150-161, 2017 | 28 | 2017 |
| Emg-based intention detection using deep learning for shared control in upper-limb assistive exoskeletons P Sedighi, X Li, M Tavakoli IEEE Robotics and Automation Letters 9 (1), 41-48, 2023 | 25 | 2023 |
| Common corruption robustness of point cloud detectors: Benchmark and enhancement S Li, Z Wang, F Juefei-Xu, Q Guo, X Li, L Ma IEEE Transactions on Multimedia, 2023 | 25 | 2023 |
| Color model comparative analysis for breast cancer diagnosis using H and E stained images X Li, KN Plataniotis Medical Imaging 2015: Digital Pathology 9420, 137-142, 2015 | 22 | 2015 |
| Surgical Skill Evaluation From Robot-Assisted Surgery Recordings A Soleymani, AAS Asl, M Yeganejou, S Dick, M Tavakoli, X Li International Symposium on Medical Robotics (ISMR), 2021 | 21 | 2021 |
| Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ... Medical Image Analysis 88, 102865, 2023 | 19 | 2023 |
| The pan-cytokeratin staining intensity and fractal computational analysis of breast tumor malignant growth patterns prognosticate the occurrence of distant metastasis N Rajković, X Li, KN Plataniotis, K Kanjer, M Radulovic, NT Milošević Frontiers in oncology 8, 348, 2018 | 19 | 2018 |
| Fuzzy expert systems for prediction of ICU admission in patients with COVID-19 AA Sadat Asl, MM Ershadi, S Sotudian, X Li, S Dick Intelligent Decision Technologies 16 (1), 159-168, 2022 | 17 | 2022 |
| SGMA: A novel adversarial attack approach with improved transferability P Zhu, J Hong, X Li, K Tang, Z Wang Complex & Intelligent Systems 9 (5), 6051-6063, 2023 | 16 | 2023 |
| How much off-the-shelf knowledge is transferable from natural images to pathology images? X Li, KN Plataniotis Plos one 15 (10), e0240530, 2020 | 16 | 2020 |
Hanqiu DengPhD student, University of AlbertaВерификована је имејл адреса на ualberta.ca
