Shilin Zhao
Orcid: 0000-0002-3921-3965
According to our database1,
Shilin Zhao
authored at least 32 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment.
CoRR, 2024
CoRR, 2024
CoRR, 2024
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Biomed. Eng., September, 2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.
CoRR, 2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
2022
IEEE Trans. Instrum. Meas., 2022
CoRR, 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.
CoRR, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.
CoRR, 2022
Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data.
Briefings Bioinform., 2022
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022
Integrate memory efficiency methods for self-supervised learning on pathological image analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Non-canonical RNA-DNA differences and other human genomic features are enriched within very short tandem repeats.
PLoS Comput. Biol., 2020
2019
Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
BMC Bioinform., 2018
Briefings Bioinform., 2018
2017
Proceedings of the 3rd International Conference on Robotics and Artificial Intelligence, 2017
Proceedings of the 3rd International Conference on Robotics and Artificial Intelligence, 2017
2015
NGSPERL: a semi-automated framework for large scale next generation sequencing data analysis.
Int. J. Comput. Biol. Drug Des., 2015
2014
BMC Bioinform., 2014
2013
Gene and isoform expression signatures associated with tumor stage in kidney renal clear cell carcinoma.
BMC Syst. Biol., 2013