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2020 – today
- 2024
[i5]Chen Zhang
, Lecheng Jia, Wei Zhang, Ning Wen:
Functional Programming Paradigm of Python for Scientific Computation Pipeline Integration. CoRR abs/2405.16956 (2024)- 2023
- [c8]Junwen Liu, Zheyu Zhang, Jifeng Xiao, Zhijia Jin, Xuekun Zhang, Yuanyuan Ma, Fuhua Yan, Ning Wen:
Large Language Model Locally Fine-tuning (LLMLF) on Chinese Medical Imaging Reports. ICBDT 2023: 273-279 - 2021
- [c7]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
- [j2]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) - [c6]Ning Wen, Qichao Liu, Liang Xiao:
PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES. IGARSS 2020: 850-853 - [c5]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 - [i4]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
- [i3]Weiwei Zong, Joon Lee, Chang Liu, Eric Nathan Carver, Aharon Feldman, Branislava Janic, Mohamed Elshaikh, Milan Pantelic, David Hearshen, Indrin J. Chetty, Benjamin Movsas, Ning Wen:
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. CoRR abs/1903.12331 (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
- [j1]Chang Liu, Jinkoo Kim, Akila Kumarasiri, Essa Mayyas, Stephen L. Brown, Ning Wen, Farzan Siddiqui, Indrin J. Chetty:
An automated dose tracking system for adaptive radiation therapy. Comput. Methods Programs Biomed. 154: 1-8 (2018) - [c4]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 - 2010
- [c3]Ning Wen, Randall A. Berry:
Minimum delay packet-sizing for linear multi-hop networks with cooperative transmissions. ISIT 2010: 1773-1777
2000 – 2009
- 2008
- [c2]Ning Wen, Randall A. Berry:
Reliability constrained packet-sizing for linear multi-hop wireless networks. ISIT 2008: 16-20 - 2006
- [c1]Ning Wen, Randall Berry:
Information Propagation for Location-based MAC Protocols in Vehicular Networks. CISS 2006: 1242-1247
Coauthor Index
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