Tianyuan Yao
Orcid: 0000-0002-1848-079X
According to our database1,
Tianyuan Yao
authored at least 29 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Neuroinformatics, April, 2024
CoRR, 2024
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models.
CoRR, 2024
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization.
CoRR, 2024
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.
CoRR, 2024
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results.
CoRR, 2024
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis.
CoRR, 2024
CoRR, 2024
2023
IEEE Trans. Biomed. Eng., September, 2023
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.
Comput. Biol. Medicine, June, 2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.
CoRR, 2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR, 2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023
2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
CoRR, 2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining.
CoRR, 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification.
CoRR, 2022
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022
2021
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021