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Zhenzhen Dai
ORCID
Publication Activity (10 Years)
Years Active: 2013-2021
Publications (10 Years): 7
Top Topics
Image Segmentation
Ground Truth
Brain Tumor Segmentation
Top Venues
CoRR
IEEE Congress on Evolutionary Computation
BrainLes@MICCAI (2)
HECKTOR@MICCAI
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Publications
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Zhenzhen Dai
,
Ning Wen
,
Eric Nathan Carver
Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble.
BrainLes@MICCAI (1)
(2021)
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)
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
(2020)
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 (2020)
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
(2019)
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
(2019)
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)
Zhenzhen Dai
,
Aimin Zhou
,
Guixu Zhang
,
Sanyi Jiang
A differential evolution with an orthogonal local search.
IEEE Congress on Evolutionary Computation
(2013)