about
Vision 20/20: perspectives on automated image segmentation for radiotherapyCombining Radiation Therapy with Immune Checkpoint Blockade for Central Nervous System MalignanciesDelta-radiomics features for the prediction of patient outcomes in non-small cell lung cancerA Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.Motion of the esophagus due to cardiac motion.Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: Should standard positioning and immobilization be required for radiation therapy applications?A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy.A statistical modeling approach for evaluating auto-segmentation methods for image-guided radiotherapy.Measuring Computed Tomography Scanner Variability of Radiomics FeaturesVariable planning margin approach to account for locoregional variations in setup uncertainties.Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based MetricsUncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors.Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contoursDose constraints to prevent radiation-induced brachial plexopathy in patients treated for lung cancer.Statistical modeling approach to quantitative analysis of interobserver variability in breast contouring.IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.Cost-effective immobilization for whole brain radiation therapy.Spatial Precision in Magnetic Resonance Imaging-Guided Radiation Therapy: The Role of Geometric Distortion.(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy.Impact of heart and lung dose on early survival in patients with non-small cell lung cancer treated with chemoradiation.Digital reconstruction of high-quality daily 4D cone-beam CT images using prior knowledge of anatomy and respiratory motion.Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms.Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiotherapy.Advantages of simulating thoracic cancer patients in an upright position.Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.Erratum: "Modeling respiratory motion for reducing motion artifacts in 4D CT images" [Med. Phys. 40, 041716 (13pp.) (2013)].Submillimeter alignment of more than three contiguous vertebrae in spinal SRS/SBRT with 6-degree couch.Modeling respiratory motion for reducing motion artifacts in 4D CT images.A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images.Effect of tube current on computed tomography radiomic features.Dosimetric comparison to the heart and cardiac substructure in a large cohort of esophageal cancer patients treated with proton beam therapy or Intensity-modulated radiation therapy.The influence of non-rigid anatomy and patient positioning on endoscopy-CT image registration in the head and neck.NSCLC tumor shrinkage prediction using quantitative image features.Preliminary investigation into sources of uncertainty in quantitative imaging features.Reproducibility of patient setup in the seated treatment position: A novel treatment chair design.Upright cone beam CT imaging using the onboard imager.Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancerAutomatic segmentation of cardiac substructures from noncontrast CT images: accurate enough for dosimetric analysis?
P50
Q26852847-2BCBB810-A233-4004-AAA3-A9CEFE7E63EEQ28072007-EB9A5438-6D40-42E0-A8B8-8F96B991B2EBQ33674304-82D3ED98-4500-4A83-8D13-00A0482C56E7Q33920822-522AB004-3CE5-4A85-904A-D8F5891BA849Q35106707-54461E6F-DDBE-436F-B1F0-92991F4457B8Q35174711-56E9155C-3C15-4C4A-84F4-C93CED7910FBQ35752309-F73BBAF7-44E3-429C-8716-9FA48634665AQ35983014-0D982B6F-CF0F-4028-993F-E44F00A8D6E2Q36098774-C15F98DB-2C87-49FC-A307-207DA874DE08Q36137431-72DCCD02-B4E4-402D-9C4C-F81C7921D1AAQ36157069-546CD5F4-2B57-4F7C-BABF-27512E51FC67Q36563559-6EB45E45-8F25-4B04-BC48-FDE120AA0FFCQ36586322-02A96355-B050-41B3-839B-523B86A79A93Q36711250-7E461F36-E14B-4D3D-A3AD-57E59DA42A1EQ37206363-2EA039C0-90F6-43C9-8820-B89E678D0F24Q37719074-FDC7F62E-5FC6-4E28-9204-CE8C34A32DE4Q38367229-53B64760-4FDF-4AA0-86C2-EF9CE2163356Q38741198-7BEE50CF-C559-47B2-AEA3-8A724DDB147BQ38880197-49CE2635-A9C4-4604-85AB-1AF05D926247Q38967081-6197E2ED-AE49-4F02-9A8B-AE0A9B65E5CDQ39758735-4718A8E7-8A01-4965-AAAC-78F46022791DQ40240884-FAAAD602-52DF-4C61-8EA0-31F2C3707EF0Q40479237-14ABC7AA-DC41-4B96-A0FA-B78C48F88C9CQ41994050-8626D865-0E38-4FD9-BD7D-B3EB0D37DF8FQ42001353-C82F6B50-A185-47C9-A47C-F0EAB0EB82ABQ44013191-F1DF31F7-8C0F-4628-8279-70EA152DE221Q44632172-E1EBCBC2-65BD-4871-9906-F6AF1AC51974Q45992768-432CB80B-A20F-4493-9C7C-364CC209336BQ46022001-93E07D4C-BA03-43EF-A57C-A2D3151220E6Q46258023-DAB8EF18-71AF-407C-845C-94793EC50766Q47949037-F940DE78-F733-4417-8B90-1B5BB3D89FC8Q48102678-BAB1608E-3A9B-48F3-A3AB-5A7E3895A16BQ50058124-9263399D-0463-4657-A00A-D4548D8BB565Q50641088-80736516-27AD-4D92-AA6A-38D6581B2455Q50712616-482935B4-8DB0-4634-8792-088C3E0AC372Q50909276-5570A2D4-29BA-4F7B-BB7D-B3E443AC4151Q52948827-17DE94B3-9320-441E-A9DA-50172560C1EFQ53538591-4FA52BC4-5592-48BB-B220-877F399573B6Q57031018-DA3B765B-21AD-4B3C-A0D6-94BFF4BC88D6Q57279495-85303B90-8C52-4DC0-90BA-2F0B7D9FE498
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Jinzhong Yang
@ast
Jinzhong Yang
@en
Jinzhong Yang
@es
Jinzhong Yang
@nl
Jinzhong Yang
@sl
type
label
Jinzhong Yang
@ast
Jinzhong Yang
@en
Jinzhong Yang
@es
Jinzhong Yang
@nl
Jinzhong Yang
@sl
prefLabel
Jinzhong Yang
@ast
Jinzhong Yang
@en
Jinzhong Yang
@es
Jinzhong Yang
@nl
Jinzhong Yang
@sl
P106
P1153
36601775700
P2456
P31
P3835
jinzhong-yang
P496
0000-0002-9254-4501