Ying Hou

发表

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.

P. Lambin, T. Coroller, P. Grossmann, 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2020, Abdominal Radiology.

Radiomic phenotype features predict pathological response in non-small cell lung cancer.

Raymond H Mak, Patrick Grossmann, Hugo J W L Aerts, 2016, Radiotherapy and Oncology.

A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2019, BJU International.

Integration of Clinical Identifications With Deep Transferrable Imaging Feature Representations Can Help Predict Prostate Cancer Aggressiveness and Outcome

Ying Hou, Chunhong Hu, Yu-Dong Zhang, 2021 .

A clinical available decision support scheme for optimizing prostate biopsy based on mpMRI

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Prostate Cancer and Prostatic Diseases.

Optimized MRI Assessment for Clinically Significant Prostate Cancer: A STARD‐Compliant Two‐Center Study

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2020, Journal of magnetic resonance imaging : JMRI.

CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.

Raymond H Mak, Hugo J W L Aerts, Ying Hou, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

SU-E-J-246: CT-Based Volumetric Features Are Associated with Somatic Mutations in Lung Cancer

T. Coroller, P. Grossmann, Ying Hou, 2015 .

Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Journal of magnetic resonance imaging : JMRI.

PI-RADS^AI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI

Ying Hou, Dongmei Wu, Yu-Dong Zhang, 2023, British Journal of Cancer.

Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT

Chintan Parmar, Hugo J. W. L. Aerts, Raymond H. Mak, 2017, PloS one.

Use of frailty to predict survival in elderly patients with early stage non-small-cell lung cancer treated with stereotactic body radiation therapy.

Ying Hou, R. Mak, E. Baldini, 2017, Journal of geriatric oncology.

High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade

Ying Hou, Yu-Dong Zhang, Ximing Wang, 2023, British Journal of Cancer.

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Xu Yan, Ying Hou, Yida Wang, 2020, PloS one.

Inter‐scan and inter‐observer tumour volume delineation variability on cone beam computed tomography in patients treated with stereotactic body radiation therapy for early‐stage non‐small cell lung cancer

Ying Hou, R. Mak, H. Aerts, 2017, Journal of medical imaging and radiation oncology.

A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2019, BJU international.

Integration of clinicopathologic identification and deep transferrable image feature representation improves predictions of lymph node metastasis in prostate cancer

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2021, EBioMedicine.

Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study

Ying Hou, Yu-Dong Zhang, Mei-Ling Bao, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC.

T. Coroller, Ying Hou, R. Mak, 2016, Lung cancer.

Modified Frailty Index as a Predictor of Overall and Other Cause-Specific Survival in Early-Stage Non-Small Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

Ying Hou, R. Mak, E. Baldini, 2016 .

RtNet: a deep hybrid neural networks for the identification of acute rejection and chronic allograft nephropathy after renal transplantation using multiparametric MRI.

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC

T. Coroller, Ying Hou, R. Mak, 2017, PloS one.

Clinical Outcomes After Lung Stereotactic Body Radiation Therapy in Patients With or Without a Prior Lung Resection

Ying Hou, Gretchen Hermann, R. Mak, 2016, American journal of clinical oncology.

Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence

Ying Hou, Jing Zhang, F. Zhu, 2023, British Journal of Cancer.

Arti�cial Intelligence Is a Promising Prospect for the Detection of Prostate Cancer Extracapsular Extension With Mp-mri: A Two-center Comparative Study

Ying Hou, Guang Yang, J. Bao, 2021 .

Biomarkers for lung SBRT CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer

T. Coroller, Ying Hou, R. Mak, 2016 .

Radiomics Predict Pathological Response in Non-Small Cell Lung Cancer

Hugo J.W.L. Aerts, Patrick Grossmann, Raymond H. Mak, 2016 .