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Michal Kazmierski

Showing results (1-10 of 10) with videos related to

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Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 24, 2020
Machine learning helps identifying volume-confounding effects in radiomicsAlberto Traverso, Michal Kazmierski, Ivan Zhovannik, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 2, 2019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processingAlberto Traverso, Michal Kazmierski, Zhenwei Shi, et al.
Physics and Imaging in Radiation Oncology|July 14, 2021
Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncologyColin Arrowsmith, Reza Reiazi, Mattea L Welch, et al.
F1000Research|February 24, 2025
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging dataSejin Kim, Michal Kazmierski, Kevin Qu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 4, 2019
Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patientsAlberto Traverso, Michal Kazmierski, Mattea L Welch, et al.
Practical Radiation Oncology|March 22, 2023
Effect of Radiation Therapy Quality Assurance on Nasopharyngeal Carcinoma: Usage of a Novel, Web-Based Quality Assurance ApplicationJun Won Kim, Joseph Marsilla, Michal Kazmierski, et al.
International Journal of Radiation Oncology, Biology, Physics|August 23, 2023
The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment PlansAndrew Hope, Jun Won Kim, Michal Kazmierski, et al.
Medical Physics|February 16, 2024
RADCURE: An open-source head and neck cancer CT dataset for clinical radiation therapy insightsMattea L Welch, Sejin Kim, Andrew J Hope, et al.
Physics and Imaging in Radiation Oncology|June 30, 2026
Auto-segmentation of organs-of-interest clinical acceptability & reproducibility framework in head and neck cancerJoseph Marsilla, Mattea L Welch, Joshua Siraj, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 24, 2020
Machine learning helps identifying volume-confounding effects in radiomicsAlberto Traverso, Michal Kazmierski, Ivan Zhovannik, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 2, 2019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processingAlberto Traverso, Michal Kazmierski, Zhenwei Shi, et al.
Physics and Imaging in Radiation Oncology|July 14, 2021
Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncologyColin Arrowsmith, Reza Reiazi, Mattea L Welch, et al.
F1000Research|February 24, 2025
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging dataSejin Kim, Michal Kazmierski, Kevin Qu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 4, 2019
Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patientsAlberto Traverso, Michal Kazmierski, Mattea L Welch, et al.
Practical Radiation Oncology|March 22, 2023
Effect of Radiation Therapy Quality Assurance on Nasopharyngeal Carcinoma: Usage of a Novel, Web-Based Quality Assurance ApplicationJun Won Kim, Joseph Marsilla, Michal Kazmierski, et al.
International Journal of Radiation Oncology, Biology, Physics|August 23, 2023
The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment PlansAndrew Hope, Jun Won Kim, Michal Kazmierski, et al.
Medical Physics|February 16, 2024
RADCURE: An open-source head and neck cancer CT dataset for clinical radiation therapy insightsMattea L Welch, Sejin Kim, Andrew J Hope, et al.
Physics and Imaging in Radiation Oncology|June 30, 2026
Auto-segmentation of organs-of-interest clinical acceptability & reproducibility framework in head and neck cancerJoseph Marsilla, Mattea L Welch, Joshua Siraj, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
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