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Scientific Reports
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March 29, 2025
Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries
Betelhem Bizuneh Asfaw, Eyachew Misganew Tegaw
Seminars in Oncology
|
May 25, 2025
Explainable machine learning and feature interpretation to predict survival outcomes in the treatment of lung cancer
Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw
Scientific Reports
|
July 10, 2025
Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy
Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw
Journal of Ultrasound
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January 25, 2023
Diagnostic performance of mammography and ultrasound in breast cancer: a systematic review and meta-analysis
Getu Ferenji Tadesse, Eyachew Misganew Tegaw, Ejigu Kebede Abdisa
Radiation and Environmental Biophysics
|
April 3, 2020
Dosimetric characteristics of the INTRABEAM ® system with spherical applicators in the presence of air gaps and tissue heterogeneities
Eyachew Misganew Tegaw, Somayeh Gholami, Gilnaz Omyan, et al.
Annals of Nuclear Medicine
|
October 24, 2018
Techniques for generating attenuation map using cardiac SPECT emission data only: a systematic review
Getu Ferenji Tadesse, Parham Geramifar, Eyachew Misganew Tegaw, et al.
Radiation and Environmental Biophysics
|
December 3, 2021
Gold-nanoparticle-enriched breast tissue in breast cancer treatment using the INTRABEAM® system: a Monte Carlo study
Eyachew Misganew Tegaw, Ghazale Geraily, Somayeh Gholami, et al.
Biomedical Physics & Engineering Express
|
April 9, 2021
Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM<sup>®</sup>system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
March 29, 2025
Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries
Betelhem Bizuneh Asfaw, Eyachew Misganew Tegaw
Seminars in Oncology
|
May 25, 2025
Explainable machine learning and feature interpretation to predict survival outcomes in the treatment of lung cancer
Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw
Scientific Reports
|
July 10, 2025
Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy
Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw
Journal of Ultrasound
|
January 25, 2023
Diagnostic performance of mammography and ultrasound in breast cancer: a systematic review and meta-analysis
Getu Ferenji Tadesse, Eyachew Misganew Tegaw, Ejigu Kebede Abdisa
Radiation and Environmental Biophysics
|
April 3, 2020
Dosimetric characteristics of the INTRABEAM ® system with spherical applicators in the presence of air gaps and tissue heterogeneities
Eyachew Misganew Tegaw, Somayeh Gholami, Gilnaz Omyan, et al.
Annals of Nuclear Medicine
|
October 24, 2018
Techniques for generating attenuation map using cardiac SPECT emission data only: a systematic review
Getu Ferenji Tadesse, Parham Geramifar, Eyachew Misganew Tegaw, et al.
Radiation and Environmental Biophysics
|
December 3, 2021
Gold-nanoparticle-enriched breast tissue in breast cancer treatment using the INTRABEAM® system: a Monte Carlo study
Eyachew Misganew Tegaw, Ghazale Geraily, Somayeh Gholami, et al.
Biomedical Physics & Engineering Express
|
April 9, 2021
Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM<sup>®</sup>system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, et al.
Page
of 1