| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1775 | 2018 |
| Detection of sessile serrated adenomas in the proximal colon using wide-field fluorescence endoscopy BP Joshi, Z Dai, Z Gao, JH Lee, N Ghimire, J Chen, A Prabhu, ... Gastroenterology 152 (5), 1002-1013. e9, 2017 | 55 | 2017 |
| Segmentation of the prostatic gland and the intraprostatic lesions on multiparametic magnetic resonance imaging using mask region-based convolutional neural networks Z Dai, E Carver, C Liu, J Lee, A Feldman, W Zong, M Pantelic, M Elshaikh, ... Advances in radiation oncology 5 (3), 473-481, 2020 | 47 | 2020 |
| Automatic brain tumor segmentation and overall survival prediction using machine learning algorithms E Carver, C Liu, W Zong, Z Dai, JM Snyder, J Lee, N Wen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 32 | 2019 |
| Automatic brain tumor segmentation using a U-net neural network E Caver, L Chang, W Zong, Z Dai, N Wen Pre-conference proceedings of the 7th MICCAI BraTS challenge 63, 2018 | 19 | 2018 |
| Improvement of multiparametric MR image segmentation by augmenting the data with generative adversarial networks for glioma patients EN Carver, Z Dai, E Liang, J Snyder, N Wen Frontiers in Computational Neuroscience 14, 495075, 2021 | 15 | 2021 |
| Two-stage approach for segmenting gross tumor volume in head and neck cancer with CT and PET imaging S Zhu, Z Dai, N Wen Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 11 | 2021 |
| Utilizing a deep learning-based object detection and instance segmentation algorithm for the delineation of prostate and prostate cancer segmentation AM Feldman, Z Dai, E Carver, C Liu, JK Lee, M Pantelic, MA Elshaikh, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), S197-S198, 2019 | 8 | 2019 |
| Prostate cancer detection and segmentation on MRI using non‐local mask R‐CNN with histopathological ground truth Z Dai, I Jambor, P Taimen, M Pantelic, M Elshaikh, A Dabaja, C Rogers, ... Medical physics 50 (12), 7748-7763, 2023 | 2 | 2023 |
| Brain tumor segmentation using non-local mask R-CNN and single model ensemble Z Dai, N Wen, E Carver International MICCAI Brainlesion Workshop, 239-248, 2021 | 2 | 2021 |
| Prostate and Prostate Cancer Segmentation Using a Deep Learning-Based Object Detection Algorithm A Feldman, Z Dai, E Carver, C Liu, JK Lee, M Pantelic, MA Elshaikh, ... | 2 | 2019 |
| Accurate Prostate Cancer Detection and Segmentation Using Non-Local Mask R-CNN With Histopathological Ground Truth Z Dai, I Jambor, P Taimen, M Pantelic, MA Elshaikh, A Dabaja, C Rogers, ... International Journal of Radiation Oncology, Biology, Physics 111 (3), S45, 2021 | 1 | 2021 |
| Overall Survival Prediction in Glioblastoma Using Clinical Factors Combined with Texture Features Extracted from 3D Convolutional Neural Networks JK Lee, WW Zong, Z Dai, C Liu, J Snyder, NW Wen | 1 | 2019 |
| Investigating Normalization Methods in Generation of an Automated, Robust Radiomics Biomarker Modeling for Glioblastoma Multiforme Patient Overall Survival EN Carver, Z Dai, J Snyder, B Griffith, L Poisson, L Scarpace, N Wen AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
| Prediction of 3D Dose Distribution in Head and Neck Cancer with Convolutional Neural Network S Zhu, Z Dai, Ning,(Winston) Ning AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS 44 (10), S141-S142, 2021 | | 2021 |
| Multi-Institutional Data Analysis of Radiomic Signature Set to Predict Overall Survival in Glioblastoma Patients E Carver, Z Dai, J Snyder, B Griffith, L Poisson, L Rogers, N Wen MEDICAL PHYSICS 48 (6), 2021 | | 2021 |
| Utilizing Semi-Supervised Learning and Image Matting in Combination With Mask R-CNN for Accurate Dominant Intraprostatic Lesion Identification and Segmentation on … AM Feldman, Z Dai, W Zong, M Pantelic, MA Elshaikh, N Wen International Journal of Radiation Oncology, Biology, Physics 108 (3), e257, 2020 | | 2020 |
| Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth Z Dai, I Jambor, P Taimen, M Pantelic, M Elshaikh, C Rogers, O Ettala, ... arXiv preprint arXiv:2010.15233, 2020 | | 2020 |
| Glioblastoma MR Images Synthesis with Generative Adversarial Network N Wen, Z Dai, E Carver, E Liang, J Snyder, B Griffith, B Movsas International Journal of Radiation Oncology, Biology, Physics 108 (2), E28, 2020 | | 2020 |
| BSCI-14. SYNTHETIC METASTATIC BRAIN DISEASE MRI IMAGES CREATED USING A GENERATIVE ADVERSARY NETWORK TO OVERCOME DEEP MACHINE LEARNING CHALLENGES IN HEALTHCARE Z Dai, J Snyder, N Wen Neuro-oncology Advances 1 (Suppl 1), i3, 2019 | | 2019 |
