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2020 – today
- 2021
[c4]Zhenzhen Dai
, Ning Wen, Eric Nathan Carver:
Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble. BrainLes@MICCAI (1) 2021: 239-248- 2020
- [j1]Eric Nathan Carver, Zhenzhen Dai, Evan Liang, James M. Snyder, Ning Wen:
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients. Frontiers Comput. Neurosci. 14: 495075 (2020) - [c3]Simeng Zhu, Zhenzhen Dai, Ning Wen:
Two-Stage Approach for Segmenting Gross Tumor Volume in Head and Neck Cancer with CT and PET Imaging. HECKTOR@MICCAI 2020: 22-27 - [i3]Zhenzhen Dai, Ivan Jambor, Pekka Taimen, Milan Pantelic, Mohamed Elshaikh, Craig Rogers, Otto Ettala, Peter J. Boström, Hannu J. Aronen, Harri Merisaari, Ning Wen:
Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth. CoRR abs/2010.15233 (2020)
2010 – 2019
- 2019
- [i2]Zhenzhen Dai, Eric Nathan Carver, Chang Liu, Joon Lee, Aharon Feldman, Weiwei Zong, Milan Pantelic, Mohamed Elshaikh, Ning Wen:
Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN. CoRR abs/1904.02575 (2019) - [i1]Eric Nathan Carver, Zhenzhen Dai, Evan Liang, James M. Snyder, Ning Wen:
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients. CoRR abs/1910.00696 (2019) - 2018
- [c2]Eric Nathan Carver, Chang Liu, Weiwei Zong, Zhenzhen Dai, James M. Snyder, Joon Lee, Ning Wen:
Automatic Brain Tumor Segmentation and Overall Survival Prediction Using Machine Learning Algorithms. BrainLes@MICCAI (2) 2018: 406-418 - 2013
- [c1]Zhenzhen Dai, Aimin Zhou, Guixu Zhang, Sanyi Jiang:
A differential evolution with an orthogonal local search. IEEE Congress on Evolutionary Computation 2013: 2329-2336
Coauthor Index
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