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Mohamed A. Naser
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Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images
MA Naser, MJ Deen
Computers in biology and medicine 121, 103758, 2020
2932020
Head and neck tumor segmentation in PET/CT: the HECKTOR challenge
V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ...
Medical image analysis 77, 102336, 2022
1782022
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images
V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ...
3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021
1592021
Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties
MA Naser, MS Patterson
Biomedical optics express 1 (2), 512-526, 2010
692010
Improved bioluminescence and fluorescence reconstruction algorithms using diffuse optical tomography, normalized data, and optimized selection of the permissible source region
MA Naser, MS Patterson
Biomedical Optics Express 2 (1), 169-184, 2011
582011
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective …
KA Wahid, S Ahmed, R He, LV van Dijk, J Teuwen, BA McDonald, ...
Clinical and translational radiation oncology 32, 6-14, 2022
412022
Improved photoacoustic-based oxygen saturation estimation with SNR-regularized local fluence correction
MA Naser, DRT Sampaio, NM Muņoz, CA Wood, TM Mitcham, W Stefan, ...
IEEE transactions on medical imaging 38 (2), 561-571, 2018
362018
Spectral function and responsivity of resonant tunneling and superlattice quantum dot infrared photodetectors using Green’s function
MA Naser, MJ Deen, DA Thompson
Journal of Applied Physics 102 (8), 2007
342007
Bioluminescence tomography using eigenvectors expansion and iterative solution for the optimized permissible source region
MA Naser, MS Patterson
Biomedical Optics Express 2 (11), 3179-3193, 2011
312011
Tumor segmentation in patients with head and neck cancers using deep learning based-on multi-modality PET/CT images
MA Naser, LV van Dijk, R He, KA Wahid, CD Fuller
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 85-98, 2020
282020
Normal Tissue Complication Probability (NTCP) prediction model for osteoradionecrosis of the mandible in patients with head and neck cancer after radiation therapy: Large-scale …
LV van Dijk, AA Abusaif, J Rigert, MA Naser, KA Hutcheson, SY Lai, ...
International Journal of Radiation Oncology* Biology* Physics 111 (2), 549-558, 2021
272021
Theoretical modeling of dark current in quantum dot infrared photodetectors using nonequilibrium Green’s functions
MA Naser, MJ Deen, DA Thompson
Journal of Applied Physics 104 (1), 2008
262008
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
252022
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data
MA Naser, KA Wahid, A Mohamed, MA Abdelaal, R He, C Dede, ...
Lecture Notes in Computer Science 13209, 287–299, 2022
242022
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images
MA Naser, KA Wahid, LV van Dijk, R He, MA Abdelaal, C Dede, ...
Lecture Notes in Computer Science 13209, 121–133, 2022
232022
Intensity standardization methods in magnetic resonance imaging of head and neck cancer
KA Wahid, R He, BA McDonald, BM Anderson, T Salzillo, S Mulder, ...
Physics and imaging in radiation oncology 20, 88-93, 2021
202021
Time-resolved diffuse optical tomography system using an accelerated inverse problem solver
M Alayed, MA Naser, I Aden-Ali, MJ Deen
Optics express 26 (2), 963-979, 2018
202018
Photocurrent modeling and detectivity optimization in a resonant-tunneling quantum-dot infrared photodetector
MA Naser, MJ Deen, DA Thompson
IEEE Journal of Quantum Electronics 46 (6), 849-859, 2010
192010
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Artificial intelligence for radiation oncology applications using public datasets
KA Wahid, E Glerean, J Sahlsten, J Jaskari, K Kaski, MA Naser, R He, ...
Seminars in radiation oncology 32 (4), 400-414, 2022
172022
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