Benteng Ma

According to our database, Benteng Ma authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification.

Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia

IEEE J. Biomed. Health Informatics, October, 2024

VNAS: Variational Neural Architecture Search.

Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao

Int. J. Comput. Vis., September, 2024

Momentum recursive DARTS.

Benteng Ma, Yanning Zhang, Yong Xia

Pattern Recognit., 2024

Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning.

Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation.

Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.

Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Federated adaptive reweighting for medical image classification.

Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia

Pattern Recognit., December, 2023

Inter-layer transition in neural architecture search.

Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao

Pattern Recognit., November, 2023

Adaptive decoder-block selection with filter reweighting for medical image segmentation.

Yaxin Chen, Benteng Ma, Yong Xia

Biomed. Signal Process. Control., August, 2023

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.

Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng

CoRR, 2023

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training.

Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia

CoRR, 2023

2022

GPU-Oriented Designs of Constant False Alarm Rate Detectors for Fast Target Detection in Radar Images.

Huizhang Yang, Tao Zhang, Yaomin He, Yihua Dan, Junjun Yin, Benteng Ma, Jian Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities.

Benteng Ma, Yushi Wang, Shen Wang

CoRR, 2022

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis.

Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Autonomous deep learning: A genetic DCNN designer for image classification.

Benteng Ma, Xiang Li, Yong Xia, Yanning Zhang

Neurocomputing, 2020

Auto Learning Attention.

Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation.

Yaxin Chen, Benteng Ma, Yong Xia

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation.

Yang Su, Jie Wei, Benteng Ma, Yong Xia, Yanning Zhang

Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

2018

Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification.

Benteng Ma, Yong Xia

CoRR, 2018

2017

A tribe competition-based genetic algorithm for feature selection in pattern classification.

Benteng Ma, Yong Xia

Appl. Soft Comput., 2017

A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging.

Benteng Ma, Yong Xia

Proceedings of the 13th International Conference on Natural Computation, 2017