Haidy Gerges Nasief, PhD

Instructor

Locations

Radiation Oncology

Contact Information

Education

PhD, Medical Physics, University of Wisconsin-Madison, Madison, WI, 2017
MS, Medical Physics, University of Wisconsin-Madison, Madison, WI, 2013
MS, Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, 2010
MS, Biomedical Engineering, Helwan University, Cairo, Egypt, 2007
BS, Biomedical Engineering, Helwan University, Cairo, Eygpt, 2006

Biography

Training

CAMPEP accredited certificate in Medical Physics, Medical College of Wisconsin, Milwaukee, WI (2017-2019)

Medical Physics Residency, Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI (2019-2022)

Research Areas of Interest

Algorithms
Artificial Intelligence
Machine Learning
Magnetic Resonance Imaging
Radiomics
Supervised Machine Learning
Support Vector Machine
Unsupervised Machine Learning

Research Experience

Algorithms
Bayes Theorem
Breast
Breast Neoplasms
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Pancreatic Neoplasms
Radiomics
Radiotherapy Planning, Computer-Assisted

A general framework to develop a radiomic fingerprint for progression-free survival in cervical cancer.

(Small C, Prior P, Nasief H, Zeitlin R, Saeed H, Paulson E, Morrow N, Rownd J, Erickson B, Bedi M.) Brachytherapy. 2023;22(6):728-735 PMID: 37574352 SCOPUS ID: 2-s2.0-85168005570 08/14/2023
A general framework to develop a radiomic fingerprint for progression-free survival in cervical cancer

(Christina Small, Phillip Prior, Haidy Nasief , Ross Zeitlin , Hina Saeed , Eric Paulson , Natalya Morrow , Jason Rownd , Beth Erickson , Meena Bedi .) Brachytherapy. 08/12/2023
Auto-detection of necessity for MRI-guided online adaptive replanning using a machine learning classifier.

(Parchur AK, Lim S, Nasief HG, Omari EA, Zhang Y, Paulson ES, Hall WA, Erickson B, Li XA.) Med Phys. 2023 Jan;50(1):440-448 PMID: 36227732 PMCID: PMC9868055 SCOPUS ID: 2-s2.0-85140247594 10/14/2022
Predicting necessity of daily online adaptive replanning based on wavelet image features for MRI guided adaptive radiation therapy.

(Nasief HG, Parchur AK, Omari E, Zhang Y, Chen X, Paulson E, Hall WA, Erickson B, Li XA.) Radiother Oncol. 2022 Nov;176:165-171 PMID: 36216299 PMCID: PMC9838213 SCOPUS ID: 2-s2.0-85140068136 10/11/2022
Improving Outcomes Prediction Using a Combination of MRI Wavelet Delta-Radiomic Textures and Clinical Biomarkers for MR-Guided Adaptive Radiation Therapy of Pancreatic Cancer

(HG Nasief, X Chen, BA Erickson, ES Paulson, A Li, WA Hall.) International Journal of Radiation Oncology, Biology, Physics. Volume 114 Issue 3 Pages S79-S80 11/01/2022
Should Daily Online Adaptive Replanning be Utilized for Every Treatment in MRI-Guided Radiotherapy for Pancreatic Cancer?

(E Omari, H Nasief, Y Zhang, AK Parchur, ES Paulson, X Chen, EE Ahunbay, WA Hall, BA Erickson, A Li.) International Journal of Radiation Oncology, Biology, Physics. Volume 111 Issue 3 Pages e66 11/01/2021
Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks.

(Liang Y, Schott D, Zhang Y, Wang Z, Nasief H, Paulson E, Hall W, Knechtges P, Erickson B, Li XA.) Radiother Oncol. 2020 Apr;145:193-200 PMID: 32045787 SCOPUS ID: 2-s2.0-85078961399 02/12/2020
Automated air region delineation on MRI for synthetic CT creation.

(Thapa R, Ahunbay E, Nasief H, Chen X, Allen Li X.) Phys Med Biol. 2020 Jan 17;65(2):025009 PMID: 31775128 SCOPUS ID: 2-s2.0-85078512072 11/28/2019
A Multi-biomarker Panel Including Delta Radiomics to Predict Distant Metastasis after Chemoradiation Therapy of Pancreatic Adenocarcinoma

(H Nasief, WA Hall, C Zheng, S Tsai, BA Erickson, A Li.) International Journal of Radiation Oncology, Biology, Physics 108 (3), S83. 10/01/2020
Indications of Online Adaptive Replanning Based On Organ Deformation.

(Lim SN, Ahunbay EE, Nasief H, Zheng C, Lawton C, Li XA.) Pract Radiat Oncol. 2020;10(2):e95-e102 PMID: 31446149 SCOPUS ID: 2-s2.0-85073000078 08/26/2019
Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Radiomics and the Clinical Biomarker CA19-9.

(Nasief H, Hall W, Zheng C, Tsai S, Wang L, Erickson B, Li XA.) Front Oncol. 2019;9:1464 PMID: 31970088 PMCID: PMC6960122 SCOPUS ID: 2-s2.0-85078248047 01/24/2020
A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer.

(Nasief H, Zheng C, Schott D, Hall W, Tsai S, Erickson B, Allen Li X.) NPJ Precis Oncol. 2019;3:25 PMID: 31602401 PMCID: PMC6778189 SCOPUS ID: 2-s2.0-85116956561 10/12/2019