Ding, Changxing

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Robust Face Recognition via Multimodal Deep Face Representation

Ding, C., & Tao, D. (2015) · IEEE Transactions on Multimedia

Face recognition and analysisFace and Expression Recognition

Cited by 449

Dual-force convolutional neural networks for accurate brain tumor segmentation

Chen, S., Ding, C., & Liu, M. (2019) · Pattern Recognition

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 195

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning

Tan, W., Cao, Q., Xue, C., Zhan, Y., Ding, C., & He, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 0