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Publication search results
found 99 matches
- 2024
- Sidong Xian, Mengnan Liu, Zhiyu Xian, Jiahui Chai, Sicong Lu, Ke Qing:
χ-linguistic sets and its application for the linguistic multi-attribute group decision making. Artif. Intell. Rev. 57(4): 92 (2024) - Sidong Xian, Wenjia Li, Renping Liu, Longjun Yin:
Pythagorean Z-linguistic VIKOR method based on modified value function under Pythagorean Z-linguistic environment and its application on smart healthcare. Comput. Appl. Math. 43(4): 173 (2024) - Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251: 123783 (2024) - Sidong Liu, Cristian Castillo-Olea, Shlomo Berkovsky:
Emerging Applications and Translational Challenges for AI in Healthcare. Inf. 15(2): 90 (2024) - Xiaofeng Wang, Zhe Liu, Xiangru Qiao, Zhiquan Li, Sidong Wu, Jiao Zhang, Yonghuai Liu, Zhan Li, Hongbo Guo, Huaizhong Zhang:
Clustering-inspired channel selection method for weakly supervised object localization. Pattern Recognit. Lett. 182: 46-52 (2024) - Haiwen Liu, Sidong Wang, Jiaxin Kuang, Ruolin Wang, Hongliang Tian:
Compact HTS Narrowband Bandpass Filter Based on Spiral D-CRLH Resonator. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1007-1011 (2024) - Haiwen Liu, Sidong Wang, Mingli Sun, Zeren Song, Hongliang Tian:
Wide Stopband and High Isolation Balanced Diplexer Using Asymmetric Hairpin Ring Resonator Aided by Grey Wolf Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 71(6): 2931-2935 (2024) - Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song:
Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI 2024: 1380-1388 - Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu:
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. AIME (2) 2024: 21-29 - Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu:
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. AIME (2) 2024: 60-69 - Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song:
Meta-Transfer Learning for Few-Shot Meningioma Segmentation. ISBI 2024: 1-4 - Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva:
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis. CoRR abs/2403.07834 (2024) - 2023
- Sidong Xian, Ke Qing, Chaozhen Li, Miao Luo, Renping Liu:
Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions. Artif. Intell. Medicine 141: 102558 (2023) - Dequan Guo, Lingrui Zhu, Shenggui Ling, Tianxiang Li, Gexiang Zhang, Qiang Yang, Ping Wang, Shiqi Jiang, Sidong Wu, Junbao Liu:
Face illumination normalization based on generative adversarial network. Nat. Comput. 22(1): 105-117 (2023) - Yue Cheng, Weiwei Xing, Witold Pedrycz, Sidong Xian, Weibin Liu:
NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting. IEEE Trans. Fuzzy Syst. 31(10): 3582-3597 (2023) - Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC 2023: 1-4 - Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu:
A Deep Learning Framework for Skull Stripping in Brain MRI. EMBC 2023: 1-4 - Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL 2023: 1655-1665 - Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR abs/2302.09833 (2023) - Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2305.00696 (2023) - David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu E. Salcudean, Eric Suero Molina:
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection. CoRR abs/2311.10321 (2023) - 2022
- Sidong Xian, Renping Liu, Zhijun Yang, Xin Li:
Intuitionistic principal value Z-linguistic hybrid geometric operator and their applications for multi-attribute group decision-making. Artif. Intell. Rev. 55(5): 3863-3896 (2022) - Hao Xiong, Sidong Liu, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky:
Weak label based Bayesian U-Net for optic disc segmentation in fundus images. Artif. Intell. Medicine 126: 102261 (2022) - Kun Liu, Zhuolin Liu, Sidong Liu:
Semi-supervised breast histopathological image classification with self-training based on non-linear distance metric. IET Image Process. 16(12): 3164-3176 (2022) - Carlo Russo, Sidong Liu, Antonio Di Ieva:
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Medical Biol. Eng. Comput. 60(1): 121-134 (2022) - Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82: 102580 (2022) - Kun Liu, Xiaolin Ning, Sidong Liu:
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling. Sensors 22(24): 9967 (2022) - Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva:
SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves. Sensors 22(19): 7438 (2022) - Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva:
Integrating eye gaze into machine learning using fractal curves. Gaze Meets ML 2022: 113-126 - Fei Gao, Hong Huo, Huimin Ren, Sidong Liu, Zhong Yu:
Optimal and Adaptive 1553B Telemetry Scheduling for Flight Control Software Based on Dynamic Programming. ICSIE 2022: 6-12
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