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Alberto Traverso

Showing results (11-20 of 62) with videos related to

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Acta Radiologica (Stockholm, Sweden : 1987)|September 2, 2024
Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysisPengfei Sun, Ruifang Guo, Xiangdong Hu, et al.
Journal of Contemporary Brachytherapy|October 6, 2022
Prediction models for brachytherapy-induced rectal toxicity in patients with locally advanced pelvic cancers: a systematic reviewFariba Tohidinezhad, Yves Willems, Maaike Berbee, 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.
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.
The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Cancers|March 10, 2022
Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker StudiesIvan Zhovannik, Dennis Bontempi, Alessio Romita, et al.
Clinical and Translational Radiation Oncology|August 17, 2019
Learning from scanners: Bias reduction and feature correction in radiomicsIvan Zhovannik, Johan Bussink, Alberto Traverso, et al.
Journal of Bone Oncology|July 8, 2024
Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center studyFan Yang, Ying Feng, Pengfei Sun, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 26, 2023
Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapyZhen Zhang, Zhixiang Wang, Tianchen Luo, 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.
Pageof 7

Showing results (11-20 of 62) with videos related to

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Pageof 7
Acta Radiologica (Stockholm, Sweden : 1987)|September 2, 2024
Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysisPengfei Sun, Ruifang Guo, Xiangdong Hu, et al.
Journal of Contemporary Brachytherapy|October 6, 2022
Prediction models for brachytherapy-induced rectal toxicity in patients with locally advanced pelvic cancers: a systematic reviewFariba Tohidinezhad, Yves Willems, Maaike Berbee, 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.
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.
The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Cancers|March 10, 2022
Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker StudiesIvan Zhovannik, Dennis Bontempi, Alessio Romita, et al.
Clinical and Translational Radiation Oncology|August 17, 2019
Learning from scanners: Bias reduction and feature correction in radiomicsIvan Zhovannik, Johan Bussink, Alberto Traverso, et al.
Journal of Bone Oncology|July 8, 2024
Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center studyFan Yang, Ying Feng, Pengfei Sun, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 26, 2023
Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapyZhen Zhang, Zhixiang Wang, Tianchen Luo, 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.
Pageof 7