Deep Network-Based Comprehensive Parotid Gland Tumor Detection

The Value of Multiparametric Magnetic Resonance Imaging in the Preoperative Differential Diagnosis of Parotid Gland Tumors

(2023) Sebastian Stoia et al.   Cancers

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases

(2023) Jaakko Sahlsten et al.   Frontiers in Oncology

An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal MRI

(2023) Yifan Gao et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Artificial Intelligence in Head and Neck Imaging

(2022) Nancy Pham et al.   SEMINARS IN ULTRASOUND CT AND MRI

T2 mapping and readout segmentation of long variable echo-train diffusion-weighted imaging for the differentiation of parotid gland tumors

(2022) Wen Baohong et al.   EUROPEAN JOURNAL OF RADIOLOGY

Deep learning‐based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients

(2022) Daisuke Kawahara et al.   Journal of Applied Clinical Medical Physics

A Deep Learning Model for Classification of Parotid Neoplasms Based on Multimodal Magnetic Resonance Image Sequences

(2022) Xu Liu et al.   LARYNGOSCOPE

Distinguishing Parotid Polymorphic Adenoma and Warthin Tumor Based on the CT Radiomics Nomogram: A Multicenter Study

(2022) Baomin Feng et al.   ACADEMIC RADIOLOGY

Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions

(2022) Tobias Hepp et al.   Diagnostics

Comparative parotid gland segmentation by using ResNet ‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images

(2022) Kubilay Muhammed Sunnetci et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Full‐scale attention network for automated organ segmentation on head and neck CT and MR images

(2022) Zhiqiang Zhong et al.   IET Image Processing

Development and validation of CT‐based radiomics nomogram for the classification of benign parotid gland tumors

(2022) Menglong Zheng et al.   MEDICAL PHYSICS

Double-branch U-Net for multi-scale organ segmentation

(2022) Yuhao Liu et al.   METHODS

Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data

(2022) Lucía Cubero et al.   Entropy

Magnetic resonance imaging of parotid gland tumors: a pictorial essay

(2022) Soung Yung Kim et al.   BMC MEDICAL IMAGING

A nomogram based on clinical information, conventional ultrasound and radiomics improves prediction of malignant parotid gland lesions

(2021) Qunying Li et al.   CANCER LETTERS

Classification of parotid gland tumors by using multimodal MRI and deep learning

(2020) Yi‐Ju Chang et al.   NMR IN BIOMEDICINE

Parotid gland tumors: comparison of conventional and diffusion-weighted MRI findings with histopathological results

(2020) Can Zafer Karaman et al.   DENTOMAXILLOFACIAL RADIOLOGY

Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms

(2020) Abdurrahman Burak Guher et al.   INTERNATIONAL JOURNAL OF PHOTOENERGY

Paradigm shift in surgery for benign parotid tumors: 19 years of experience with almost 3000 cases

(2019) Bianca Bär et al.   LARYNGOSCOPE

Spinal Cord Based Kidney Segmentation Using Connected Component Labeling and K-Means Clustering Algorithm

(2019) Seda Tuncer et al.   Traitement du Signal

State-of-the-Art Imaging of Salivary Gland Tumors

(2018) Ahmed Abdel Khalek Abdel Razek et al.   NEUROIMAGING CLINICS OF NORTH AMERICA

A large margin algorithm for automated segmentation of white matter hyperintensity

(2018) Chen Qin et al.   PATTERN RECOGNITION

Salivary gland tumours in a northern Chinese population: a 50-year retrospective study of 7190 cases

(2017) M. Gao et al.   INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY

Visual Interpretation of Biomedical Time Series Using Parzen Window-Based Density-Amplitude Domain Transformation

(2016) Selahaddin Batuhan Akben et al.   PLoS One

Analysis of knee osteoarthritis by using fuzzy c-means clustering and SVM classification

(2016) Alkan Ahmet   Scientific Research and Essays

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One