Impact of artificial intelligence-based autosegmentation of organs at risk in low- and middle-income countries

Solomon Kibudde, Awusi Kavuma, Yao Hao, Tianyu Zhao, Hiram Gay, Jacaranda Van Rheenen, Pavan Mukesh Jhaveri, Minjmaa Minjgee, Enkhsetseg Vanchinbazar, Urdenekhuu Nansalmaa, Baozhou Sun

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MRI-based prediction of clinical improvement after ventricular shunt placement for normal pressure hydrocephalus: development and evaluation of an integrated multisequence machine learning algorithm

Owen P. Leary, Zhusi Zhong, Lulu Bi, Zhicheng Jiao, Yu-Wei Dai, Kevin Ma, Shanzeh Sayied, Daniel Kargilis, Maliha Imami, Lin-Mei Zhao, Xue Feng, Gerald Riccardello, Scott Collins, Konstantina Svokos, Abhay Moghekar, Li Yang, Harrison Bai, Petra M. Klinge, Jerrold L. Boxerman

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Brain tumor segmentation for multi-modal MRI with missing information

Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra, Helen Zhang, Jian Peng, Binghong Han, Gaofeng Huang, Quan Chen, Sohil Patel, Chetan Bettagowda, Haris I. Sair, Craig Jones, Zhicheng Jiao, Li Yang, Harrison Bai

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First report on physician assessment and clinical acceptability of custom-retrained artificial intelligence models for clinical target volume and organs-at-risk auto-delineation for postprostatectomy patients

Jingwei Duan, Mark Bernard, Laura Downes, Brooke Willows, Xue Feng, Waleed F. Mourad, William St Clair, Quan Chen

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Establishment of age- and sex-specific reference cerebral ventricle volumes

Ryan T Kellogg, Min S. Park, M. Harrison Snyder, Alexandria Marino, Sohil Patel, Xue Feng, Jan Vargas

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Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout

Lin-Mei Zhao, Helen Zhang, Daniel D. Kim, Kanchan Ghimire, Rong Hu, Daniel C. Kargilis, Lei Tang, Shujuan Meng, Quan Chen, Wei-Hua Liao, Harrison Bai, Zhicheng Jiao, Xue Feng

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Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation

Jingwei Duan, Mark E. Bernard, James R. Castle, Xue Feng, Chi Wang, Mark C. Kenamond, Quan Chen

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Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model

Kanchan Ghimire, Quan Chen & Xue Feng

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Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT

Brian Huang, John Sollee, Yong-Heng Luo, Ashwin Reddy, Zhusi Zhong, Jing Wu, Joseph Mammarappallil, Terrance Healey, Gang Cheng, Christopher Azzoli, Dana Korogodsky, Paul Zhang, Xue Feng, Jie Li, Li Yang, Zhicheng Jiao, Harrison Xiao Bai

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Automated 3D fetal brain segmentation using an optimized deep learning approach

L. Zhao, J. D. Asis-Cruz, X. Feng, Y. Wu, K. Kapse, A. Largent, J. Quistorff, C. Lopez, D. Wu, K. Qing, C. Meyer, C. Limperopoulos

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Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process

Jingwei Duan, Mark Bernard, Laura Downes, Brooke Willows, Xue Feng, Waleed F. Mourad, William St Clair, Quan Chen

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Development of a virtual source model for Monte Carlo-based independent dose calculation for varian linac

James R. Castle, Jingwei Duan, Xue Feng, Quan Chen

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Lung nodule malignancy prediction in sequential CT scans: summary of ISBI 2018 Challenge

Yoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, Lubomir Hadjiiski, Sandy Napel, Dmitry Goldgof, Gustavo Perez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, M Mehdi Farhangi, Amir A Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani

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Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net

Xue Feng, Quan Chen

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Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions

Kanchan Ghimire, Quan Chen & Xue Feng

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Technical note: Atlas-based Auto-segmentation of masticatory muscles for head and neck cancer radiotherapy

Xiangguo Zhang, Haihui Chen, Wen Chen, Brandon A. Dyer, Quan Chen, Stanley H. Benedict, Shyam Rao, Yi Rong

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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images

Wen Chen, Yimin Li, Brandon A. Dyer, Xue Feng, Shyam Rao, Stanley H. Benedict, Quan Chen & Yi Rong

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Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features

Xue Feng, Nicholas J. Tustison, Sohil H. Patel, Craig H. Meyer

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Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation

Xue Feng, Mark E. Bernard, Thomas Hunter and Quan Chen

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Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy

Nimu Yuan, Brandon Dyer, Shyam Rao, Quan Chen, Stanley Benedict, Lu Shang, Yan Kang, Jinvi Qi, Yi Rong

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Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network

Renkun Ni, Craig H. Meyer, Silvia S. Blemker, Joseph M. Hart, Xue Feng

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Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images

Xue Feng, Kun Qing, Nicholas J. Tustison, Craig H. Meyer, Quan Chen

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Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Jinzhong Yang, Harini Veeraraghavan, Samuel G. Armato III, Keyvan Farahani, Justin S. Kirby, Jayashree Kalpathy-Kramer, Wouter van Elmpt, Andre Dekker, Xiao Han, Xue Feng, Paul Aljabar, Bruno Oliveira, Brent van der Heyden, Leonid Zamdborg, Dao Lam, Mark Gooding, Gregory C. Sharp

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Phantomless patient-specific TomoTherapy QA via delivery performance monitoring and a secondary Monte Carlo dose calculation

Lydia L. Handsfield, Ryan Jones, David D. Wilson, Jeffery V. Siebers, Paul W. Read, Quan Chen

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A virtual source model for Monte Carlo simulation of helical tomotherapy

Jiankui Yuan, Yi Rong, Quan Chen

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Investigation of nonuniform dosevoxel geometry in Monte Carlo calculations

Jiankui Yuan, Quan Chen, James Brindle, Yiran Zheng, Simon Lo, Jason Sohn, Barry Wessels

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Validation of GPU based TomoTherapy dose calculation engine

Quan Chen, Weiguo Lu, Yu Chen, Mingli Chen, Douglas Henderson, Edmond Sterpin

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Monte Carlo-based simulation of dynamic jaws tomotherapy

E. Sterpin, Y. Chen, Q. Chen, W. Lu, T. R. Mackie, S. Vynckier

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Scientific Publications & White Papers

Learn More About Our Team's Featured Research.

Impact of artificial intelligence-based autosegmentation of organs at risk in low- and middle-income countries

MRI-based prediction of clinical improvement after ventricular shunt placement for normal pressure hydrocephalus: development and evaluation of an integrated multisequence machine learning algorithm

Brain tumor segmentation for multi-modal MRI with missing information

First report on physician assessment and clinical acceptability of custom-retrained artificial intelligence models for clinical target volume and organs-at-risk auto-delineation for postprostatectomy patients

Establishment of age- and sex-specific reference cerebral ventricle volumes

Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout

Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation

Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model

Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT

Automated 3D fetal brain segmentation using an optimized deep learning approach

Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process

Development of a virtual source model for Monte Carlo-based independent dose calculation for varian linac

Lung nodule malignancy prediction in sequential CT scans: summary of ISBI 2018 Challenge

Organ-Specific Segmentation Versus Multi-Class Segmentation Using U-Net

Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions

Technical note: Atlas-based Auto-segmentation of masticatory muscles for head and neck cancer radiotherapy

Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features

Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation

Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy

Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network

Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Phantomless patient-specific TomoTherapy QA via delivery performance monitoring and a secondary Monte Carlo dose calculation

A virtual source model for Monte Carlo simulation of helical tomotherapy

Investigation of nonuniform dosevoxel geometry in Monte Carlo calculations

Validation of GPU based TomoTherapy dose calculation engine

Monte Carlo-based simulation of dynamic jaws tomotherapy

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