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F. Alfano
Also published under:Felicia Alfano
Affiliation
Biomedical Image Technologies, Universidad Politécnica de Madrid, Madrid, España
CIBER-BBN, ISCIII, Madrid, España
CIBER-BBN, ISCIII, Madrid, España
Topic
Breast Cancer,Breast Volume,Breast-conserving Surgery,Prone Position,Surgical Planning,Tumor Location,Tumor Position,Ventral,Breast Lesions,Breast Tumors,Cancer In Women Worldwide,Image Registration,Magnetic Resonance Imaging,Optical Scanning,Preoperative Imaging,Preoperative Volume,Surface In Patients,Surgical Position,Alignment In Order,Average Localization Error,Average Projection,Biomechanical Model,Breast Surgery,Breast Tissue,Cm In Diameter,Computed Tomography,Computed Tomography Images,Contralateral Breast,Convolutional Neural Network,Displacement Field,Displacement Vector,Distance Map,Evaluation Methodology,Finite Element Method,Intraoperative Data,Large Breast,Large Deformation,Localization Error,Longer Training Time,MRI Volume,Medial Direction,Neural Network,Non-rigid Registration,Number Of Landmarks,Pose Changes,Preoperative Magnetic Resonance Imaging,Registration Algorithm,Registration Techniques,Regular Grid,Rigid Registration,
Biography
Felicia Alfano received the master’s degree in biomedical engineering from the Università Federico II, Naples, Italy, in 2016. She is currently pursuing the Ph.D. degree in medical image processing with Universidad Politécnica de Madrid. Since November 2016, she has been a Research Fellow at the Biomedical Image Technology Group, Universidad Politécnica de Madrid. She did an Internship at the School of Biomedical Engineering and Imaging Science, King’s College London, U.K., in 2021. Her research interests include image-guided surgery, biomechanical modeling, and medical imaging.