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Ibrahim Hadzic

Showing results (1-10 of 12) with videos related to

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International Journal of Medicinal Mushrooms|February 14, 2012
Morpho-physiological diversity between Lingzhi or Reishi medicinal mushroom Ganoderma lucidium (W. Curt.:Fr.) P. Karst. and G. carnosum patJasmina Cilerdzic, Jelena Vukojevic, Mirjana Stajic, et al.
Research Square|June 12, 2025
Foundation model embeddings for quantitative tumor imaging biomarkersHugo Aerts, Suraj Pai, Ibrahim Hadzic, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography TranslationSuraj Pai, Ibrahim Hadzic, Chinmay Rao, et al.
European Radiology|October 31, 2024
Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language modelsMarcel C Langenbach, Borek Foldyna, Ibrahim Hadzic, et al.
Communications Medicine|March 14, 2024
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokersBorek Foldyna, Ibrahim Hadzic, Roman Zeleznik, et al.
Radiology|February 18, 2025
Association of Epicardial Adipose Tissue Changes on Serial Chest CT Scans with Mortality: Insights from the National Lung Screening TrialIsabel L Langenbach, Ibrahim Hadzic, Roman Zeleznik, et al.
Medrxiv : the Preprint Server for Health Sciences|September 21, 2023
Foundation Models for Quantitative Biomarker Discovery in Cancer ImagingSuraj Pai, Dennis Bontempi, Vasco Prudente, et al.
Nature Machine Intelligence|March 25, 2024
Foundation model for cancer imaging biomarkersSuraj Pai, Dennis Bontempi, Ibrahim Hadzic, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|August 22, 2022
Artificial Intelligence in Radiation TherapyYabo Fu, Hao Zhang, Eric D Morris, et al.
European Heart Journal. Cardiovascular Imaging|August 29, 2025
Sex-Specific Prognostic Value of Automated Epicardial Adipose Tissue Quantification on Serial Lung Cancer Screening Chest CTJan M Brendel, Thomas Mayrhofer, Ibrahim Hadzic, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
International Journal of Medicinal Mushrooms|February 14, 2012
Morpho-physiological diversity between Lingzhi or Reishi medicinal mushroom Ganoderma lucidium (W. Curt.:Fr.) P. Karst. and G. carnosum patJasmina Cilerdzic, Jelena Vukojevic, Mirjana Stajic, et al.
Research Square|June 12, 2025
Foundation model embeddings for quantitative tumor imaging biomarkersHugo Aerts, Suraj Pai, Ibrahim Hadzic, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography TranslationSuraj Pai, Ibrahim Hadzic, Chinmay Rao, et al.
European Radiology|October 31, 2024
Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language modelsMarcel C Langenbach, Borek Foldyna, Ibrahim Hadzic, et al.
Communications Medicine|March 14, 2024
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokersBorek Foldyna, Ibrahim Hadzic, Roman Zeleznik, et al.
Radiology|February 18, 2025
Association of Epicardial Adipose Tissue Changes on Serial Chest CT Scans with Mortality: Insights from the National Lung Screening TrialIsabel L Langenbach, Ibrahim Hadzic, Roman Zeleznik, et al.
Medrxiv : the Preprint Server for Health Sciences|September 21, 2023
Foundation Models for Quantitative Biomarker Discovery in Cancer ImagingSuraj Pai, Dennis Bontempi, Vasco Prudente, et al.
Nature Machine Intelligence|March 25, 2024
Foundation model for cancer imaging biomarkersSuraj Pai, Dennis Bontempi, Ibrahim Hadzic, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|August 22, 2022
Artificial Intelligence in Radiation TherapyYabo Fu, Hao Zhang, Eric D Morris, et al.
European Heart Journal. Cardiovascular Imaging|August 29, 2025
Sex-Specific Prognostic Value of Automated Epicardial Adipose Tissue Quantification on Serial Lung Cancer Screening Chest CTJan M Brendel, Thomas Mayrhofer, Ibrahim Hadzic, et al.
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