Yu-chi Hu

发表

Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model.

K. Rosenzweig, G. Mageras, Qinghui Zhang, 2010, Medical physics.

Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model.

K. Rosenzweig, G. Mageras, Qinghui Zhang, 2010, Medical physics.

Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model.

A. Hertanto, G. Mageras, Qinghui Zhang, 2012, Medical physics.

Fast graph-based medical image segmentation with expert guided statistical information

Michael D. Grossberg, Yu-Chi Hu, Gig S. Mageras, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Towards Predicting the Evolution of Lung Tumors During Radiotherapy Observed on a Longitudinal MR Imaging Study Via a Deep Learning Algorithm.

Joseph O Deasy, Jue Jiang, Yu-Chi Hu, 2019, Medical physics.

Evaluation of the tumor registration error in biopsy procedures performed under real‐time PET/CT guidance

M. Hatt, D. Visvikis, E. Yorke, 2017, Medical physics.

Evaluation of respiratory motion-corrected cone-beam CT at end expiration in abdominal radiotherapy sites: a prospective study

A. Hertanto, E. Yorke, G. Mageras, 2018, Acta oncologica.

Volumetric Medical Image Segmentation with Probabilistic Conditional Random Fields Framework

Yu-Chi Hu, Gig S. Mageras, Michael Grossberg, 2009, IPCV.

A patient-specific respiratory model of anatomical motion for radiation treatment planning.

C. Ling, A. Pevsner, A. Hertanto, 2007, Medical physics.

Predictive dose accumulation for HN adaptive radiotherapy

J. Mechalakos, M. Aristophanous, Yu-chi Hu, 2020, Physics in medicine and biology.

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network

Yu-chi Hu, Wei Lu, Pengpeng Zhang, 2020, Physics in medicine and biology.

Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning

Pengpeng Zhang, Jue Jiang, Saad Nadeem, 2020, PRIME@MICCAI.

Gamma/X-ray linear pushbroom stereo for 3D cargo inspection

Zhigang Zhu, Yu-Chi Hu, Zhigang Zhu, 2006, SPIE Defense + Commercial Sensing.

Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy

Jue Jiang, Saad Nadeem, Yu-Chi Hu, 2021, Medical physics.

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2019, Medical physics.

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

Joseph O. Deasy, Harini Veeraraghavan, Jue Jiang, 2019, IEEE Transactions on Medical Imaging.

Semiautomatic tumor segmentation with multimodal images in a conditional random field framework

Yu-Chi Hu, Michael Grossberg, Gikas Mageras, 2016, Journal of medical imaging.

Tumor segmentation with multi-modality image in Conditional Random Field framework with logistic regression models

Yu-Chi Hu, Gig S. Mageras, Michael Grossberg, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.

E. Yorke, Yu-chi Hu, L. Kuo, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Library of deep-learning image segmentation and outcomes model-implementations.

Harini Veeraraghavan, Joseph O Deasy, Jung Hun Oh, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning

Andrew Jackson, Ellen Yorke, Pengpeng Zhang, 2017, Physics in medicine and biology.

Evaluation of tumor localization in respiration motion-corrected cone-beam CT: prospective study in lung.

A. Hertanto, E. Yorke, G. Mageras, 2014, Medical physics.

Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation

Harini Veeraraghavan, Chuang Wang, Joseph O Deasy, 2020, Physics in medicine and biology.

Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network.

Harini Veeraraghavan, Guang Li, Chuang Wang, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Automated Finite-Element Analysis for Deformable Registration of Prostate Images

Edward L. Chaney, Marco Zaider, Stephen M. Pizer, 2007, IEEE Transactions on Medical Imaging.

Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small cell lung cancer.

Joseph O Deasy, Yu-Chi Hu, Ellen Yorke, 2012, International journal of radiation oncology, biology, physics.

Interactive semiautomatic contour delineation using statistical conditional random fields framework.

Yu-Chi Hu, Gig S Mageras, Nadeem Riaz, 2012, Medical physics.

Semi-automatic medical image segmentation with adaptive local statistics in Conditional Random Fields framework

Michael D. Grossberg, Gikas S. Mageras, Yu-Chi J. Hu, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2018, MICCAI.

Early prediction of acute esophagitis for adaptive radiotherapy.

E. Yorke, J. Deasy, Yu-chi Hu, 2021, International journal of radiation oncology, biology, physics.

Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer

Wei Lu, Maria Thor, Saad Nadeem, 2020, Physics and imaging in radiation oncology.

Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy

M. Aristophanous, Yu-chi Hu, N. Lee, 2023, Journal of applied clinical medical physics.

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation

J. Deasy, H. Veeraraghavan, Yu-chi Hu, 2020, IEEE Transactions on Medical Imaging.

SU‐FF‐J‐83: Inaccuracy of Fixed Threshold Segmentation for PET

E. Yorke, J. Humm, S. Larson, 2006 .