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André Pfob

Showing results (1-10 of 56) with videos related to

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Breast (Edinburgh, Scotland)|January 20, 2023
The underused potential of breast conserving therapy after neoadjuvant system treatment - Causes and solutionsAndré Pfob, Peter Dubsky
Abdominal Radiology (New York)|November 2, 2024
Artificial intelligence in abdominal and pelvic ultrasound imaging: current applicationsLie Cai, André Pfob
Breast (Edinburgh, Scotland)|February 9, 2022
Breast and axillary surgery after neoadjuvant systemic treatment - A review of clinical routine recommendations and the latest clinical researchAndré Pfob, Joerg Heil
Breast (Edinburgh, Scotland)|February 26, 2023
Artificial intelligence to de-escalate loco-regional breast cancer treatmentAndré Pfob, Joerg Heil
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|April 4, 2020
De-escalation towards omission is the tipping point of individualizing breast cancer surgeryJoerg Heil, André Pfob, Henry Mark Kuerer
BMC Medical Research Methodology|November 2, 2022
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparisonAndré Pfob, Sheng-Chieh Lu, Chris Sidey-Gibbons
Diagnostics (Basel, Switzerland)|June 26, 2026
Application of Artificial Intelligence in Breast Ultrasound DiagnosisJian Zhang, André Pfob, Eva Reisig, et al.
Archives of Gynecology and Obstetrics|January 30, 2025
The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective studyLie Cai, Michael Golatta, Chris Sidey-Gibbons, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|October 29, 2022
Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom dataCai Xu, Ishwaria M Subbiah, Sheng-Chieh Lu, et al.
Annals of Surgical Oncology|May 6, 2024
Oncologic Outcomes for Different Axillary Staging Techniques in Patients with Nodal-Positive Breast Cancer Undergoing Neoadjuvant Systematic Treatment: A Cancer Registry StudyAndré Pfob, Daria B Kokh, Irina Surovtsova, et al.
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Breast (Edinburgh, Scotland)|January 20, 2023
The underused potential of breast conserving therapy after neoadjuvant system treatment - Causes and solutionsAndré Pfob, Peter Dubsky
Abdominal Radiology (New York)|November 2, 2024
Artificial intelligence in abdominal and pelvic ultrasound imaging: current applicationsLie Cai, André Pfob
Breast (Edinburgh, Scotland)|February 9, 2022
Breast and axillary surgery after neoadjuvant systemic treatment - A review of clinical routine recommendations and the latest clinical researchAndré Pfob, Joerg Heil
Breast (Edinburgh, Scotland)|February 26, 2023
Artificial intelligence to de-escalate loco-regional breast cancer treatmentAndré Pfob, Joerg Heil
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|April 4, 2020
De-escalation towards omission is the tipping point of individualizing breast cancer surgeryJoerg Heil, André Pfob, Henry Mark Kuerer
BMC Medical Research Methodology|November 2, 2022
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparisonAndré Pfob, Sheng-Chieh Lu, Chris Sidey-Gibbons
Diagnostics (Basel, Switzerland)|June 26, 2026
Application of Artificial Intelligence in Breast Ultrasound DiagnosisJian Zhang, André Pfob, Eva Reisig, et al.
Archives of Gynecology and Obstetrics|January 30, 2025
The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective studyLie Cai, Michael Golatta, Chris Sidey-Gibbons, et al.
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|October 29, 2022
Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom dataCai Xu, Ishwaria M Subbiah, Sheng-Chieh Lu, et al.
Annals of Surgical Oncology|May 6, 2024
Oncologic Outcomes for Different Axillary Staging Techniques in Patients with Nodal-Positive Breast Cancer Undergoing Neoadjuvant Systematic Treatment: A Cancer Registry StudyAndré Pfob, Daria B Kokh, Irina Surovtsova, et al.
Pageof 6