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 | 286 | 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 | 286 | 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 | 139 | 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 | 62 | 2019 |
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning H Liang, KN Plataniotis, X Li arXiv preprint arXiv:2007.12578, 2020 | 28 | 2020 |
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, 2015 | 28 | 2015 |
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 | 24 | 2022 |
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 |
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 | 17 | 2023 |
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 | 16 | 2023 |
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 | 15 | 2021 |
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 | 15 | 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 | 14 | 2022 |
How much off-the-shelf knowledge is transferable from natural images to pathology images? X Li, KN Plataniotis Plos one 15 (10), e0240530, 2020 | 14 | 2020 |
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, 102865, 2023 | 13 | 2023 |
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 | 12 | 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 | 12 | 2023 |
Virtual histopathology with ultraviolet scattering and photoacoustic remote sensing microscopy NJM Haven, MT Martell, BD Cikaluk, BS Restall, E McAlister, S Silverman, ... Optics letters 46 (20), 5153-5156, 2021 | 12 | 2021 |
Deep Neural Skill Assessment and Transfer: Application to Robotic Surgery Training A Soleymani, X Li, M Tavakoli EEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 12 | 2021 |
Size and shape filtering of malignant cell clusters within breast tumors identifies scattered individual epithelial cells as the most valuable histomorphological clue in the … V Vranes, N Rajković, X Li, KN Plataniotis, NT Raković, J Milovanović, ... Cancers 11 (10), 1615, 2019 | 12 | 2019 |