Dendritic spines detection based on directional morphological filter and shortest path. - Ran Su; Changming Sun; Tuan D. Pham (EMBC, 2012)

Linear feature enhancement based on morphological operation and Gabor function. - Ran Su; Changming Sun; Chao Zhang 011; Tuan D. Pham (IVCNZ, 2012)

Segmentation of clustered nuclei based on curvature weighting. - Chao Zhang 011; Changming Sun; Ran Su; Tuan D. Pham (IVCNZ, 2012)

Junction detection for linear structures based on Hessian, correlation and shape information. - Ran Su; Changming Sun; Tuan D. Pham (Pattern Recognit., 2012)

Tubule detection in testis images using boundary weighting and circular shortest path. - Chao Zhang 011; Changming Sun; Rhonda Davey; Ran Su; Leanne Bischof; Pascal Vallotton; David Lovell 002; Shelly Hope; Sigrid A. Lehnert; Tuan D. Pham (EMBC, 2013)

Image analysis techniques for linear features. - Ran Su (2013)

Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels. - Ran Su; Yao Li; Daniele Zink; Lit-Hsin Loo (BMC Bioinform., 2014)

A novel method for dendritic spines detection based on directional morphological filter and shortest path. - Ran Su; Changming Sun; Chao Zhang 011; Tuan D. Pham (Comput. Medical Imaging Graph., 2014)

A new method for linear feature and junction enhancement in 2D images based on morphological operation, oriented anisotropic Gaussian function and Hessian information. - Ran Su; Changming Sun; Chao Zhang 011; Tuan D. Pham (Pattern Recognit., 2014)

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. - Leyi Wei; Pengwei Xing; Jian-Cang Zeng; Jin-Xiu Chen; Ran Su; Fei Guo 001 (Artif. Intell. Medicine, 2017)

Encoded Texture Features to Characterize Bone Radiograph Images. - Ran Su; Weijun Chen; Leyi Wei; Xiuting Li; Qiangguo Jin; Wenyuan Tao (ICPR, 2018)

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. - Leyi Wei; Chen Zhou; Huangrong Chen; Jiangning Song; Ran Su (Bioinform., 2018)

RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. - Qiangguo Jin; Zhao-Peng Meng; Changming Sun; Leyi Wei; Ran Su (CoRR, 2018)

Prediction of human protein subcellular localization using deep learning. - Leyi Wei; Yijie Ding; Ran Su; Jijun Tang; Quan Zou 001 (J. Parallel Distributed Comput., 2018)

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. - Leyi Wei; Shasha Luan; Luis Augusto Eijy Nagai; Ran Su; Quan Zou 001 (Bioinform., 2019)

Iterative feature representations improve N4-methylcytosine site prediction. - Leyi Wei; Ran Su; Shasha Luan; Zhijun Liao; Balachandran Manavalan; Quan Zou 001; Xiaolong Shi (Bioinform., 2019)

PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. - Leyi Wei; Chen Zhou; Ran Su; Quan Zou 001 (Bioinform., 2019)

Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. - Leyi Wei; Ran Su; Bing Wang; Xiuting Li; Quan Zou 001; Xing Gao 004 (Neurocomputing, 2019)

DUNet: A deformable network for retinal vessel segmentation. - Qiangguo Jin; Zhaopeng Meng; Tuan D. Pham; Qi Chen; Leyi Wei; Ran Su (Knowl. Based Syst., 2019)

Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data. - Ran Su; Huichen Wu; Bo Xu; Xiaofeng Liu 004; Leyi Wei (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Towards Human Motion Tracking: An Open-source Platform based on Multi-sensory Fusion Methods. - Cheng Xu 003; Ran Su; Yulin Chen; Shihong Duan (SMC, 2020)

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. - Xiaoli Qiang; Chen Zhou; Xiucai Ye; Pufeng Du; Ran Su; Leyi Wei (Briefings Bioinform., 2020)

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. - Bing Rao; Chen Zhou; Guoying Zhang; Ran Su; Leyi Wei (Briefings Bioinform., 2020)

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. - Ran Su; Jie Hu; Quan Zou 001; Balachandran Manavalan; Leyi Wei (Briefings Bioinform., 2020)

MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy. - Ran Su; Xinyi Liu; Leyi Wei (Briefings Bioinform., 2020)

Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. - Ran Su; Xinyi Liu; Guobao Xiao; Leyi Wei (Briefings Bioinform., 2020)

Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. - Leyi Wei; Jie Hu; Fuyi Li; Jiangning Song; Ran Su; Quan Zou 001 (Briefings Bioinform., 2020)

Identification of expression signatures for non-small-cell lung carcinoma subtype classification. - Ran Su; Jiahang Zhang; Xiaofeng Liu 004; Leyi Wei (Bioinform., 2020)

Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. - Ran Su; Tianling Liu; Changming Sun; Qiangguo Jin; Rachid Jennane; Leyi Wei (Neurocomputing, 2020)

Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network. - Qiangguo Jin; Qi Chen; Zhaopeng Meng; Bing Wang; Ran Su (Neural Process. Lett., 2020)

Ultra-Wideband Radio Channel Characteristics for Near-Ground Swarm Robots Communication. - Shihong Duan; Ran Su; Cheng Xu 003; Yulin Chen; Jie He 001 (IEEE Trans. Wirel. Commun., 2020)

Discussion on the Curriculum of Information Resource Management in Medical Colleges under the "New Engineering". - Fanfan Zhu; Bingke Zhu; Ran Su; Jingxin Chen (IMMS, 2021)

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Ran Su (Appl. Soft Comput., 2021)

PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. - Xiao Cao; Wenjia He; Zitan Chen; Yifan Li; Kexin Wang; Hongbo Zhang; Lesong Wei; Lizhen Cui; Ran Su; Leyi Wei (Briefings Bioinform., 2021)

Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. - Chichi Dai; Pengmian Feng; Lizhen Cui; Ran Su; Wei Chen 064; Leyi Wei (Briefings Bioinform., 2021)

Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network. - Jin Liu; Ran Su; Jiahang Zhang; Leyi Wei (Briefings Bioinform., 2021)

Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. - Ran Su; Huichen Wu; Xinyi Liu; Leyi Wei (Briefings Bioinform., 2021)

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. - Leyi Wei; Wenjia He; Adeel Malik; Ran Su; Lizhen Cui; Balachandran Manavalan (Briefings Bioinform., 2021)

Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. - Wenjia He; Yu Wang; Lizhen Cui; Ran Su; Leyi Wei (Bioinform., 2021)

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Leyi Wei; Ran Su (Expert Syst. Appl., 2021)

Free-form tumor synthesis in computed tomography images via richer generative adversarial network. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Ran Su (Knowl. Based Syst., 2021)

Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. - Ran Su; Xiaoying Liu; Qiangguo Jin; Xiaofeng Liu 004; Leyi Wei (Knowl. Based Syst., 2021)

Protein subcellular localization based on deep image features and criterion learning strategy. - Ran Su; Linlin He; Tianling Liu; Xiaofeng Liu 004; Leyi Wei (Briefings Bioinform., 2021)

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. - Qiangguo Jin; Hui Cui 002; Changming Sun; Jiangbin Zheng 001; Leyi Wei; Zhenyu Fang; Zhaopeng Meng; Ran Su (MICCAI (2), 2022)

An Intelligent Chatbot for Negotiation Dialogues. - Siqi Chen; Qisong Sun; Ran Su (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Accelerating bioactive peptide discovery via mutual information-based meta-learning. - Wenjia He; Yi Jiang; Junru Jin; Zhongshen Li; Jiaojiao Zhao; Balachandran Manavalan; Ran Su; Xin Gao 001; Leyi Wei (Briefings Bioinform., 2022)

SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation. - Ran Su; Yixuan Huang; De-gan Zhang; Guobao Xiao; Leyi Wei (Briefings Bioinform., 2022)

Distant metastasis identification based on optimized graph representation of gene interaction patterns. - Ran Su; Yingying Zhu; Quan Zou 001; Leyi Wei (Briefings Bioinform., 2022)

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. - Chao Pang; Yu Wang; Yi Jiang; Ruheng Wang; Ran Su; Leyi Wei (CoRR, 2022)

EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. - Tianling Liu; Ran Su; Changming Sun; Xiuting Li; Leyi Wei (Expert Syst. Appl., 2022)

A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. - Ran Su; Haitang Yang; Leyi Wei; Siqi Chen 001; Quan Zou 001 (PLoS Comput. Biol., 2022)

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. - Qiangguo Jin; Hui Cui 002; Changming Sun; Jiapeng Huang; Ping Xuan; Yiyue Xu; Linlin Wang; Leilei Cao; Leyi Wei; Ran Su (BIBM, 2023)

OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution. - Gaochao Song; Qian Sun 003; Luo Zhang; Ran Su; Jianfeng Shi 001; Ying He 001 (CVPR, 2023)

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. - Qiangguo Jin; Changjiang Zou; Hui Cui 002; Changming Sun; Shu-Wei Huang; Yi-Jie Kuo; Ping Xuan; Leilei Cao; Ran Su; Leyi Wei; Henry B. L. Duh; Yu-Pin Chen (MICCAI (6), 2023)

An effective negotiating agent framework based on deep offline reinforcement learning. - Siqi Chen 001; Jianing Zhao; Gerhard Weiss 001; Ran Su; Kaiyou Lei (UAI, 2023)

ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. - Qingxin Wei; Ruheng Wang; Yi Jiang; Leyi Wei; Yu Sun; Jie Geng; Ran Su (Comput. Biol. Medicine, 2023)

Prediction of cancer recurrence based on compact graphs of whole slide images. - Fengyun Zhang; Jie Geng; Degan Zhang; Jinglong Gui; Ran Su (Comput. Biol. Medicine, 2023)

ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning. - Siqi Chen 001; Jianing Zhao; Kai Zhao; Gerhard Weiss 001; Fengyun Zhang; Ran Su; Yang Dong; Daqian Li; Kaiyou Lei (AAMAS, 2024)

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. - Ran Su; Rui Shi; Hui Cui 002; Ping Xuan; Chengyan Fang; Xikang Feng; Qiangguo Jin (BIBM, 2024)

MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. - Ran Su; Jin Xiao; Hui Cui 002; Ping Xuan; Xikang Feng; Leyi Wei; Qiangguo Jin (BIBM, 2024)

Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. - Qiangguo Jin; Jiapeng Huang; Changming Sun; Hui Cui 002; Ping Xuan; Ran Su; Leyi Wei; Yu-Jie Wu; Chia-An Wu; Henry B. L. Duh; Yueh-Hsun Lu (MICCAI (11), 2024)

Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. - Ran Su; Jingyi Han; Changming Sun; Degan Zhang; Jie Geng; Ping Wang; Xiaoyan Zeng (Comput. Biol. Medicine, 2024)

StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. - Ding Wang; Junru Jin; Zhongshen Li; Yu Wang; Mushuang Fan; Sirui Liang; Ran Su; Leyi Wei (Bioinform., 2024)

TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing Images. - Haoyu Gong; Qian Sun 003; Chenrong Fang; Le Sun 002; Ran Su (Remote. Sens., 2024)

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. - Qiangguo Jin; Hui Cui 002; Changming Sun; Yang Song; Jiangbin Zheng 001; Leilei Cao; Leyi Wei; Ran Su (Expert Syst. Appl., 2024)

Self-Attention Factor Graph Neural Network for Multiagent Collaborative Target Tracking. - Cheng Xu 003; Ran Su; Ran Wang 014; Shihong Duan (IEEE Internet Things J., 2024)

Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data. - Ke Wu; Changming Sun; Jie Geng; Ping Wang; Qi Dai; Leyi Wei; Ran Su (Briefings Bioinform., 2025)

PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. - Qiangguo Jin; Ankang Wu; Leyi Wei; Hui Cui 002; Ping Xuan; Xikang Feng; Ran Su (Eng. Appl. Artif. Intell., 2025)

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. - Qiangguo Jin; Hui Cui 002; Junbo Wang; Changming Sun; Yimiao He; Ping Xuan; Linlin Wang; Cong Cong; Leyi Wei; Ran Su (Knowl. Based Syst., 2025)

Multi-Modal Deep Representation Learning Accurately Identifies and Interprets Drug-Target Interactions. - Jiayue Hu; Yuhang Liu; Xiangxiang Zeng; Quan Zou 001; Ran Su; Leyi Wei (IEEE J. Biomed. Health Informatics, 2025)

Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover. - Chao Pang; Yu Wang; Yi Jiang; Ruheng Wang; Xiaojun Yao; Quan Zou 001; Xiangxiang Zeng; Ran Su; Leyi Wei (IEEE Trans. Neural Networks Learn. Syst., 2025)