99 citations · 115 across the 6 of their papers we have counts for
7 papers
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen, Benteng Ma, Hengfei Cui +1
Federated learning facilitates the collaborative learning of a global model across multiple distributed medical institutions without centralizing data. Nevertheless, the expensive…
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training
Xiaoyu Bai, Benteng Ma, Changyang Li +1
Universal lesion detection has great value for clinical practice as it aims to detect various types of lesions in multiple organs on medical images. Deep learning methods have show…
Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities
Benteng Ma, Yushi Wang, Shen Wang
This technical report presents a comparative analysis of existing deep learning (DL) based approaches for brain tumor segmentation with missing MRI modalities. Approaches evaluated…
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng, Benteng Ma, Jing Zhang +3
In recent years, the security of AI systems has drawn increasing research attention, especially in the medical imaging realm. To develop a secure medical image analysis (MIA) syste…
Inter-layer Transition in Neural Architecture Search
Benteng Ma, Jing Zhang, Yong Xia +1
Differential Neural Architecture Search (NAS) methods represent the network architecture as a repetitive proxy directed acyclic graph (DAG) and optimize the network weights and arc…
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
Benteng Ma, Yong Xia
Recent years have witnessed the breakthrough success of deep convolutional neural networks (DCNNs) in image classification and other vision applications. Although freeing users fro…
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification
Benteng Ma, Yong Xia
Feature selection has always been a critical step in pattern recognition, in which evolutionary algorithms, such as the genetic algorithm (GA), are most commonly used. However, the…