Year |
Citation |
Score |
2023 |
Zhang Y, Liu YL, Nie K, Zhou J, Chen Z, Chen JH, Wang X, Kim B, Parajuli R, Mehta RS, Wang M, Su MY. Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification. Academic Radiology. PMID 36631349 DOI: 10.1016/j.acra.2022.12.038 |
0.305 |
|
2022 |
Chen X, Zhang Y, Zhou J, Wang X, Liu X, Nie K, Lin X, He W, Su MY, Cao G, Wang M. Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning. Frontiers in Oncology. 12: 991892. PMID 36582788 DOI: 10.3389/fonc.2022.991892 |
0.337 |
|
2020 |
Wang H, Nie K, Chang J, Kuang Y. A Monte Carlo study to investigate the feasibility of an on-board SPECT/spectral-CT/CBCT imager for medical linear accelerator. Medical Physics. PMID 32681649 DOI: 10.1002/Mp.14398 |
0.356 |
|
2019 |
Wang H, Nie K, Kuang Y. An On-board Spectral-CT/CBCT/SPECT Imaging Configuration for Small-Animal Radiation Therapy Platform: a Monte Carlo Study. Ieee Transactions On Medical Imaging. PMID 31380751 DOI: 10.1109/Tmi.2019.2932333 |
0.382 |
|
2019 |
Yao S, Zhang Y, Nie K, Liu B, Haffty BG, Ohri N, Yue NJ. Setup uncertainties and the optimal imaging schedule in the prone position whole breast radiotherapy. Radiation Oncology (London, England). 14: 76. PMID 31072388 DOI: 10.1186/S13014-019-1282-4 |
0.481 |
|
2019 |
Shi L, Zhang Y, Nie K, Sun X, Niu T, Yue N, Kwong T, Chang P, Chow D, Chen JH, Su MY. Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI. Magnetic Resonance Imaging. PMID 31059768 DOI: 10.1016/J.Mri.2019.05.003 |
0.321 |
|
2018 |
Yegya-Raman N, Zou W, Nie K, Malhotra J, Jabbour SK. Advanced radiation techniques for locally advanced non-small cell lung cancer: intensity-modulated radiation therapy and proton therapy. Journal of Thoracic Disease. 10: S2474-S2491. PMID 30206493 DOI: 10.21037/Jtd.2018.07.29 |
0.303 |
|
2018 |
Niu T, Yang P, Sun X, Mao T, Xu L, Yue NJ, Kuang Y, Shi L, Nie K. Variations of quantitative perfusion measurement on dynamic contrast enhanced CT for colorectal cancer: implication of standardized image protocol. Physics in Medicine and Biology. PMID 29889046 DOI: 10.1088/1361-6560/Aacb99 |
0.338 |
|
2018 |
Huang Q, Jabbour SK, Xiao Z, Yue N, Wang X, Cao H, Kuang Y, Zhang Y, Nie K. Dosimetric feasibility of 4DCT-ventilation imaging guided proton therapy for locally advanced non-small-cell lung cancer. Radiation Oncology (London, England). 13: 78. PMID 29695284 DOI: 10.1186/S13014-018-1018-X |
0.315 |
|
2016 |
Nie K, Shi L, Chen Q, Hu X, Jabbour S, Yue N, Niu T, Sun X. Rectal Cancer: Assessment of Neoadjuvant Chemo-Radiation Outcome Based on Radiomics of Multi-Parametric MRI. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 27185368 DOI: 10.1158/1078-0432.Ccr-15-2997 |
0.336 |
|
2016 |
Nie K, Pouliot J, Smith E, Chuang C. Performance variations among clinically available deformable image registration tools in adaptive radiotherapy - how should we evaluate and interpret the result? Journal of Applied Clinical Medical Physics / American College of Medical Physics. 17: 5778. PMID 27074457 DOI: 10.1120/Jacmp.V17I2.5778 |
0.344 |
|
2016 |
Kirby N, Chen J, Kim H, Morin O, Nie K, Pouliot J. An automated deformable image registration evaluation of confidence tool. Physics in Medicine and Biology. 61: N203-14. PMID 27025957 DOI: 10.1088/0031-9155/61/8/N203 |
0.367 |
|
2015 |
Nie K, Shi L, Hu X, Chen Q, Yue N, Sun X, Niu T. TU-CD-BRB-09: Prediction of Chemo-Radiation Outcome for Rectal Cancer Based On Radiomics of Tumor Clinical Characteristics and Multi-Parametric MRI. Medical Physics. 42: 3604. PMID 26128894 DOI: 10.1118/1.4925594 |
0.378 |
|
2015 |
Nie K, Pouliot J, Smith E, Chuang C. SU-E-J-102: Performance Variations Among Clinically Available Deformable Image Registration Tools in Adaptive Radiotherapy: How Should We Evaluate and Interpret the Result? Medical Physics. 42: 3287. PMID 26127494 DOI: 10.1118/1.4924189 |
0.363 |
|
2014 |
Kirby N, Morin O, Nie K, Chen J, Pouliot J. SU-C-18A-07: The Importance of Image Processing for Simulated Deformations. Medical Physics. 41: 102. PMID 28036784 DOI: 10.1118/1.4887834 |
0.344 |
|
2014 |
Chen T, Nie K, Narra V, Zou J, Zhang M, Khan A, Haffty B, Yue N. SU-E-J-263: Dosimetric Analysis On Breast Brachytherapy Based On Deformable Image Registration. Medical Physics. 41: 218. PMID 28036668 DOI: 10.1118/1.4888317 |
0.532 |
|
2014 |
Kirby N, Morin O, Nie K, Chen J, Pouliot J. The Potential for Patient-Specific, Automated Evaluation of Deformable Image Registration Accuracy International Journal of Radiation Oncology*Biology*Physics. 90: S878. DOI: 10.1016/J.Ijrobp.2014.05.2505 |
0.359 |
|
2013 |
Nie K, Fekete CC, Pinnaduwage D, Cunha J, Mellis K, Descovich M, Beaulieu L, Pouliot J. WE-E-108-10: Validating a 192Ir-Based Small Animal Irradiation Apparatus Using a 3D-Printed Applicator: Comparison Between TG-43, Monte Carlo and Films Dosimetry. Medical Physics. 40: 490. PMID 28518626 DOI: 10.1118/1.4815588 |
0.313 |
|
2013 |
Nie K, Chuang C, Kirby N, Braunstein S, Pouliot J. Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations. Medical Physics. 40: 041911. PMID 23556905 DOI: 10.1118/1.4793723 |
0.385 |
|
2013 |
Kirby N, Morin O, Ueda U, Nie K, Chen J, Pouliot J. TU-C-141-09: An Automated Workflow for Patient-Specific Verification of Deformable Image Registration Medical Physics. 40: 435-435. DOI: 10.1118/1.4815386 |
0.372 |
|
2013 |
Keyvanfard F, Shoorehdeli MA, Teshnehlab M, Nie K, Su MY. Specificity enhancement in classification of breast MRI lesion based on multi-classifier Neural Computing and Applications. 22: 35-45. DOI: 10.1007/S00521-012-0937-Y |
0.451 |
|
2012 |
Lin Y, Chang D, Bota D, Roa D, Al-Ghazi M, Yu H, Kuo J, Nie K, Fwu P, Su M. SU-E-J-108: Quantitative Analysis of Longitudinal Cognitive Impairment Due to Radiation Therapy Based on Automatic Segmentation of Hippocampus and Subcortical Structure. Medical Physics. 39: 3677. PMID 28519814 DOI: 10.1118/1.4734944 |
0.65 |
|
2012 |
Nie K, Kirby N, Pouliot J, Chuang C. Development of a Workflow to Quantitatively Validate Various Image Fusion Algorithms in Radiation Therapy International Journal of Radiation Oncology*Biology*Physics. 84: S738. DOI: 10.1016/J.Ijrobp.2012.07.1975 |
0.354 |
|
2011 |
Chang DH, Chen JH, Lin M, Bahri S, Yu HJ, Mehta RS, Nie K, Hsiang DJ, Nalcioglu O, Su MY. Comparison of breast density measured on MR images acquired using fat-suppressed versus nonfat-suppressed sequences. Medical Physics. 38: 5961-8. PMID 22047360 DOI: 10.1118/1.3646756 |
0.74 |
|
2011 |
Lin M, Chan S, Chen JH, Chang D, Nie K, Chen ST, Lin CJ, Shih TC, Nalcioglu O, Su MY. A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI. Medical Physics. 38: 5-14. PMID 21361169 DOI: 10.1118/1.3519869 |
0.729 |
|
2011 |
Chen JH, Mehta RS, Baek HM, Nie K, Liu H, Lin MQ, Yu HJ, Nalcioglu O, Su MY. Clinical characteristics and biomarkers of breast cancer associated with choline concentration measured by 1H MRS. Nmr in Biomedicine. 24: 316-24. PMID 20862660 DOI: 10.1002/Nbm.1595 |
0.431 |
|
2011 |
Chen JH, Chang YC, Chang D, Wang YT, Nie K, Chang RF, Nalcioglu O, Huang CS, Su MY. Reduction of breast density following tamoxifen treatment evaluated by 3-D MRI: preliminary study. Magnetic Resonance Imaging. 29: 91-8. PMID 20832226 DOI: 10.1016/J.Mri.2010.07.009 |
0.512 |
|
2010 |
Nie K, Su MY, Chau MK, Chan S, Nguyen H, Tseng T, Huang Y, McLaren CE, Nalcioglu O, Chen JH. Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI. Medical Physics. 37: 2770-2776. PMID 28512978 DOI: 10.1118/1.3426317 |
0.409 |
|
2010 |
Nie K, Su MY, Chau MK, Chan S, Nguyen H, Tseng T, Huang Y, McLaren CE, Nalcioglu O, Chen JH. Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI. Medical Physics. 37: 2770-6. PMID 20632587 DOI: 10.1118/1.3426317 |
0.459 |
|
2010 |
Shih TC, Chen JH, Liu D, Nie K, Sun L, Lin M, Chang D, Nalcioglu O, Su MY. Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images. Physics in Medicine and Biology. 55: 4153-68. PMID 20601773 DOI: 10.1088/0031-9155/55/14/013 |
0.743 |
|
2010 |
Chen JH, Nie K, Bahri S, Hsu CC, Hsu FT, Shih HN, Lin M, Nalcioglu O, Su MY. Decrease in breast density in the contralateral normal breast of patients receiving neoadjuvant chemotherapy: MR imaging evaluation. Radiology. 255: 44-52. PMID 20308443 DOI: 10.1148/Radiol.09091090 |
0.743 |
|
2010 |
Nie K, Chang D, Chen JH, Shih TC, Hsu CC, Nalcioglu O, Su MY. Impact of skin removal on quantitative measurement of breast density using MRI. Medical Physics. 37: 227-33. PMID 20175485 DOI: 10.1118/1.3271353 |
0.44 |
|
2010 |
Nie K, Chang D, Chen JH, Hsu CC, Nalcioglu O, Su MY. Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI. Medical Physics. 37: 217-26. PMID 20175484 DOI: 10.1118/1.3271346 |
0.453 |
|
2009 |
Lin M, Chen JH, Nie K, Chang D, Nalcioglu O, Su MY. Algorithm-based method for detection of blood vessels in breast MRI for development of computer-aided diagnosis. Journal of Magnetic Resonance Imaging : Jmri. 30: 817-24. PMID 19787727 DOI: 10.1002/Jmri.21915 |
0.714 |
|
2009 |
McLaren CE, Chen WP, Nie K, Su MY. Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques. Academic Radiology. 16: 842-51. PMID 19409817 DOI: 10.1016/J.Acra.2009.01.029 |
0.332 |
|
2009 |
Bahri S, Chen JH, Mehta RS, Carpenter PM, Nie K, Kwon SY, Yu HJ, Nalcioglu O, Su MY. Residual breast cancer diagnosed by MRI in patients receiving neoadjuvant chemotherapy with and without bevacizumab. Annals of Surgical Oncology. 16: 1619-28. PMID 19333654 DOI: 10.1245/S10434-009-0441-5 |
0.498 |
|
2009 |
Baek HM, Chen JH, Nie K, Yu HJ, Bahri S, Mehta RS, Nalcioglu O, Su MY. Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy. Radiology. 251: 653-62. PMID 19276320 DOI: 10.1148/Radiol.2512080553 |
0.378 |
|
2008 |
Nie K, Chen JH, Chan S, Chau MI, Yu HJ, Bahri S, Tseng T, Nalcioglu O, Su MY. Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI. Medical Physics. 35: 5253-5262. PMID 28525134 DOI: 10.1118/1.3002306 |
0.46 |
|
2008 |
Nie K, Chen JH, Chan S, Chau MK, Yu HJ, Bahri S, Tseng T, Nalcioglu O, Su MY. Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI. Medical Physics. 35: 5253-62. PMID 19175084 DOI: 10.1118/1.3002306 |
0.542 |
|
2008 |
Nie K, Chen JH, Yu HJ, Chu Y, Nalcioglu O, Su MY. Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. Academic Radiology. 15: 1513-25. PMID 19000868 DOI: 10.1016/J.Acra.2008.06.005 |
0.439 |
|
2006 |
Roa D, Smither R, Shieh Y, Nie K, Zhang X, Al‐Ghazi M, Milne N, Caligiuri P. TH‐D‐330A‐03: Development of a High Resolution Imaging System for Nuclear Medicine Medical Physics. 33: 2278-2278. DOI: 10.1118/1.2241894 |
0.303 |
|
2006 |
Roa DE, Smither RK, Zhang X, Nie K, Shieh YY, Ramsinghani NS, Milne N, Kuo JV, Redpath JL, Al-Ghazi MSAL, Caligiuri P. Development of a new photon diffraction imaging system for diagnostic nuclear medicine Experimental Astronomy. 20: 229-239. DOI: 10.1007/S10686-005-9017-Y |
0.334 |
|
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