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A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation

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A Machine Learning Approach to Identify Previously Unconsidered Causes for  Complications in Aesthetic Breast Augmentation
Making the Improbable Possible: Generalizing Models Designed for a  Syndrome-Based, Heterogeneous Patient Landscape - Critical Care Clinics

Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient Landscape - Critical Care Clinics

Lehnhardt MARCUS, Professor (Full), Ruhr-Universität Bochum, Bochum, RUB, Department of Plastic Surgery

Lehnhardt MARCUS, Professor (Full), Ruhr-Universität Bochum, Bochum, RUB, Department of Plastic Surgery

Macrotextured Breast Implants with Defined Steps to Minimize Bacterial  Contamination around the Device: Experience in 42,000 Implants

Macrotextured Breast Implants with Defined Steps to Minimize Bacterial Contamination around the Device: Experience in 42,000 Implants

The Impact of Obesity on Breast Surgery Complications

The Impact of Obesity on Breast Surgery Complications

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast  Cancer Patients

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast Cancer Patients

Frontiers  Early breast cancer detection and differentiation tool based on  tissue impedance characteristics and machine learning

Frontiers Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning

Validating machine learning approaches for prediction of donor related  complication in microsurgical breast reconstruction: a retrospective cohort  study

Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort study

Mandala #122 - TrendyMandalas

Mandala #122 - TrendyMandalas

A generative adversarial network-based abnormality detection using only  normal images for model training with application to digital breast  tomosynthesis

A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis

A Machine Learning Approach to Identify Previously Unconsidered Causes for  Complications in Aesthetic Breast Augmentation

A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast  Augmentation Surgery

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast Augmentation Surgery

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast  Augmentation Surgery

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast Augmentation Surgery

A Machine Learning Method for Nipple-Areola Complex Localization for Chest  Masculinization Surgery

A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery

The Impact of Obesity on Breast Surgery Complications

The Impact of Obesity on Breast Surgery Complications

Evolution, current challenges, and future possibilities in the objective  assessment of aesthetic outcome of breast cancer locoregional treatment -  ScienceDirect

Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment - ScienceDirect