34 citations · 35 across the 3 of their papers we have counts for
3 papers
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
Mahdi Ait Lhaj Loutfi, Teodora Boblea Podasca, Alex Zwanenburg +18
Background: The high dimensionality of radiomic feature sets, the variability in radiomic feature types and potentially high computational requirements all underscore the need for…
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
Xianghao Zhan, Qinmei Xu, Yuanning Zheng +2
Accurately labeling biomedical data presents a challenge. Traditional semi-supervised learning methods often under-utilize available unlabeled data. To address this, we propose a n…
3-D Convolutional Neural Networks for Glioblastoma Segmentation
Darvin Yi, Mu Zhou, Zhao Chen +1
Convolutional Neural Networks (CNN) have emerged as powerful tools for learning discriminative image features. In this paper, we propose a framework of 3-D fully CNN models for Gli…