Ran Su
Orcid: 0000-0001-5922-0364
According to our database1,
Ran Su
authored at least 62 papers
between 2012 and 2024.
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Bibliography
2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.
Expert Syst. Appl., March, 2024
TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing Images.
Remote. Sens., February, 2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.
Bioinform., February, 2024
Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes.
Comput. Biol. Medicine, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Comput. Biol. Medicine, December, 2023
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy.
Comput. Biol. Medicine, December, 2023
An effective negotiating agent framework based on deep offline reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data.
PLoS Comput. Biol., September, 2022
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images.
Expert Syst. Appl., 2022
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery.
CoRR, 2022
Distant metastasis identification based on optimized graph representation of gene interaction patterns.
Briefings Bioinform., 2022
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Proceedings of the IEEE Smartworld, 2022
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Protein subcellular localization based on deep image features and criterion learning strategy.
Briefings Bioinform., July, 2021
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features.
Knowl. Based Syst., 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network.
Knowl. Based Syst., 2021
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.
Expert Syst. Appl., 2021
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides.
Bioinform., 2021
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.
Briefings Bioinform., 2021
Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies.
Briefings Bioinform., 2021
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network.
Briefings Bioinform., 2021
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites.
Briefings Bioinform., 2021
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.
Briefings Bioinform., 2021
Appl. Soft Comput., 2021
Discussion on the Curriculum of Information Resource Management in Medical Colleges under the "New Engineering".
Proceedings of the IMMS 2021: 4th International Conference on Information Management and Management Science, Chengdu, China, August 27, 2021
2020
Ultra-Wideband Radio Channel Characteristics for Near-Ground Swarm Robots Communication.
IEEE Trans. Wirel. Commun., 2020
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network.
Neural Process. Lett., 2020
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses.
Neurocomputing, 2020
Identification of expression signatures for non-small-cell lung carcinoma subtype classification.
Bioinform., 2020
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms.
Briefings Bioinform., 2020
Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction.
Briefings Bioinform., 2020
MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy.
Briefings Bioinform., 2020
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools.
Briefings Bioinform., 2020
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides.
Briefings Bioinform., 2020
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning.
Briefings Bioinform., 2020
Towards Human Motion Tracking: An Open-source Platform based on Multi-sensory Fusion Methods.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Knowl. Based Syst., 2019
Integration of deep feature representations and handcrafted features to improve the prediction of N<sup>6</sup>-methyladenosine sites.
Neurocomputing, 2019
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning.
Bioinform., 2019
Bioinform., 2019
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.
Bioinform., 2019
2018
J. Parallel Distributed Comput., 2018
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans.
CoRR, 2018
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides.
Bioinform., 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.
Artif. Intell. Medicine, 2017
2014
A new method for linear feature and junction enhancement in 2D images based on morphological operation, oriented anisotropic Gaussian function and Hessian information.
Pattern Recognit., 2014
A novel method for dendritic spines detection based on directional morphological filter and shortest path.
Comput. Medical Imaging Graph., 2014
Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels.
BMC Bioinform., 2014
2013
Tubule detection in testis images using boundary weighting and circular shortest path.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Junction detection for linear structures based on Hessian, correlation and shape information.
Pattern Recognit., 2012
Proceedings of the Image and Vision Computing New Zealand, 2012
Proceedings of the Image and Vision Computing New Zealand, 2012
Dendritic spines detection based on directional morphological filter and shortest path.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012