Alisa S. Bettermann

Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer pdf

Michael Mix, Tobias Fechter, Thorsten Derlin, 2020, ArXiv.

Uncovering the invisible—prevalence, characteristics, and radiomics feature–based detection of visually undetectable intraprostatic tumor lesions in 68GaPSMA-11 PET images of patients with primary prostate cancer

Alisa S. Bettermann, M. Benndorf, C. Zamboglou, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Ex vivo γH2AX assay for tumor radiosensitivity in primary prostate cancer patients and correlation with clinical parameters

Alisa S. Bettermann, M. Benndorf, C. Zamboglou, 2022, Radiation Oncology.

Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network

Alisa S. Bettermann, T. Derlin, D. Baltas, 2020, The Journal of Nuclear Medicine.

Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies

Alisa S. Bettermann, M. Benndorf, R. Grosu, 2021, Theranostics.

[68Ga-]PSMA-11 PET/CT and multiparametric MRI for gross tumor volume delineation in a slice by slice analysis with whole mount histopathology as a reference standard - Implications for focal radiotherapy planning in primary prostate cancer.

Alisa S. Bettermann, M. Bock, M. Benndorf, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.