Daniel Kargilis - Dept Radiol & Radiol Sci, Johns Hopkins Univ

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论文共 20 篇作者统计合作学者相似作者

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Deep Learning-Based Lesion Characterization and Outcome Prediction of Prostate Cancer on [18f]dcfpyl PSMA Imaging

Linmei Zhao, Maliha Imami, Yuli Wang,Yitao Mao, Wen-Chi Hsu, Ruohua Chen,Esther Mena,Yang Li,Jingyi Tang,Jing Wu,Andrew F. Voter, Alireza Amindarolzarbi,Lily Kwak, Lulu Bi,Daniel Kargilis, Shadi Afyouni,Andrei Gafita,Junyu Chen,Xin Li, Jeffrey P. Leal,Yong Du,Gigin Lin,Zhicheng Jiao,Peter L. Choyke,Steven P. Rowe,Martin G Pomper, Weihua Liao, Harrison X. Bai

crossref（2024）

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Deep Learning Segmentation of Mandible with Lower Dentition from Cone Beam CT

Daniel C. Kargilis,Winnie Xu, Samir Reddy, Shilpa Shree Kuduva Ramesh,Steven Wang,Anh D. Le,Chamith S. Rajapakse

Oral Radiologypp.1-9, (2024)

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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

AMERICAN JOURNAL OF NEURORADIOLOGY (2024)

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User and Usability Testing of a Web-Based Genetics Education Tool for Parkinson Disease: Mixed Methods Study

Noah Han,Rachel A Paul,Tanya Bardakjian,Daniel Kargilis,Angela R Bradbury,Alice Chen-Plotkin,Thomas F Tropea

JMIR bioinformatics and biotechnology (2023): e45370-e45370

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Predicting Fractures Using Vertebral 18F-Naf Uptake in Prostate Cancer Patients

Helene Chesnais,Nikita Bastin,Sofia Miguez,Daniel Kargilis,Anita Kalluri,Ashley Terry,Chamith S Rajapakse

Journal of bone metabolism（2023）

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Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis

Abhinav Suri,Sisi Tang,Daniel Kargilis,Elena Taratuta,Bruce J. Kneeland,Grace Choi,Alisha Agarwal,Nancy Anabaraonye,Winnie Xu,James B. Parente,Ashley Terry,Anita Kalluri,Katie Song,Chamith S. Rajapakse

Radiology Artificial intelligenceno. 4 (2023)

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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

PHYSICS IN MEDICINE AND BIOLOGYno. 9 (2023): 095011-095011

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Radiomic‐Based MRI for Classification of Solitary Brain Metastases Subtypes from Primary Lymphoma of the Central Nervous System

Lin-mei Zhao,Rong Hu,Fang-Fang Xie,Daniel Clay Kargilis,Maliha Imami, Shuai Yang,Jiu-Qing Guo,Xiao Jiao,Rui-ting Chen,Liao Wei-Hua, Lang Li

JOURNAL OF MAGNETIC RESONANCE IMAGING（2023）

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The Application of Advanced Bone Imaging Technologies in Sports Medicine

Samuel S Tadros,Scott Epsley,Sameer Mehta,Brandon C Jones, Hiran I Rajapakse,Rashad Madi,Austin Alecxih,Daniel Kargilis,Chamith S Rajapakse

Radiology research and practice (2023): 7412540-7412540

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User and Usability Testing of a web-based GBA and LRRK2 genetics education tool

Noah Han,Rachel A. Paul,Tanya Bardakjian,Daniel Kargilis,Angela R. Bradbury,Alice Chen-Plotkin,Thomas F. Tropea

medRxiv (Cold Spring Harbor Laboratory) (2022)

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