Tiancheng Lin

Orcid: 0000-0002-6761-5152

Affiliations:
  • Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China


According to our database1, Tiancheng Lin authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
SGCL: Spatial guided contrastive learning on whole-slide pathological images.
Medical Image Anal., October, 2023

Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment.
CoRR, 2023

Relational Contrastive Learning for Scene Text Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

SLPD: Slide-Level Prototypical Distillation for WSIs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Background Clustering Pre-Training for Few-Shot Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis.
CoRR, 2022

Enhancing Non-Mass Breast Ultrasound Cancer Classification with Knowledge Transfer.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance.
Proceedings of the IEEE International Conference on Acoustics, 2022

Anatomy-Aware Self-Supervised Learning for Aligned Multi-Modal Medical Data.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection.
Neurocomputing, 2021

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning.
CoRR, 2021

SSLP: Spatial Guided Self-supervised Learning on Pathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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