Kefeng Ding

Affiliations:
  • Zhejiang University, Hangzhou, China


According to our database1, Kefeng Ding authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A local region proposals approach to instance segmentation for intestinal polyp detection.
Int. J. Mach. Learn. Cybern., May, 2023

Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021
A deep learning method for counting white blood cells in bone marrow images.
BMC Bioinform., 2021

Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network.
Artif. Intell. Medicine, 2021

2020
Improving prediction performance of colon cancer prognosis based on the integration of clinical and multi-omics data.
BMC Medical Informatics Decis. Mak., 2020

Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study.
Int. J. Medical Informatics, 2020

A Fuzzy Segmentation Method to Learn Classification of Mitosis.
Int. J. Fuzzy Syst., 2020

An automated detection system for colonoscopy images using a dual encoder-decoder model.
Comput. Medical Imaging Graph., 2020

A multicenter random forest model for effective prognosis prediction in collaborative clinical research network.
Artif. Intell. Medicine, 2020

2019
Semi-supervised learning to improve generalizability of risk prediction models.
J. Biomed. Informatics, 2019

An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders.
Int. J. Fuzzy Syst., 2019

2018
POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing.
J. Biomed. Informatics, 2018


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