Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

(2022) Sudipta Roy et al.   Diagnostics

Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease

(2021) Mohammad R. Salmanpour et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Co-clinical FDG-PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple-negative breast cancer

(2021) Sudipta Roy et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review

(2021) Cindy Xue et al.   Quantitative Imaging in Medicine and Surgery

Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning

(2021) Mohammad R. Salmanpour et al.   Quantitative Imaging in Medicine and Surgery

Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging

(2020) Sudipta Roy et al.   EBioMedicine

Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning

(2020) Mohammad R. Salmanpour et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Hyperparameters and tuning strategies for random forest

(2019) Philipp Probst et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease

(2019) Mohammad R. Salmanpour et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Repeatability and reproducibility of radiomic features: A systematic review

(2018) Alberto Traverso et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

An ANOVA approach for statistical comparisons of brain networks

(2018) Daniel Fraiman et al.   Scientific Reports

An Iterative Implementation of Level Set for Precise Segmentation of Brain Tissues and Abnormality Detection from MR Images

(2017) Sudipta Roy et al.   IETE JOURNAL OF RESEARCH

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

(2017) Jiangwei Lao et al.   Scientific Reports

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Induction chemotherapy followed by concurrent radio-chemotherapy versus concurrent radio-chemotherapy alone as treatment of locally advanced squamous cell carcinoma of the head and neck (HNSCC): A meta-analysis of randomized trials

(2016) Wilfried Budach et al.   RADIOTHERAPY AND ONCOLOGY

Head and Neck Cancers, Version 1.2015

(2015) David G. Pfister et al.   Journal of the National Comprehensive Cancer Network

Head and Neck PET/CT: Therapy Response Interpretation Criteria (Hopkins Criteria)--Interreader Reliability, Accuracy, and Survival Outcomes

(2014) C. Marcus et al.   JOURNAL OF NUCLEAR MEDICINE

Clinical significance of head and neck squamous cell cancer biomarkers

(2014) Hana Polanska et al.   ORAL ONCOLOGY

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Validation that Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer

(2012) Chad Tang et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Distant Metastases and Survival Prediction in Head and Neck Squamous Cell Carcinoma

(2012) Dong Hwan Lee et al.   OTOLARYNGOLOGY-HEAD AND NECK SURGERY

Clinical Outcomes of Patients Receiving Integrated PET/CT-Guided Radiotherapy for Head and Neck Carcinoma

(2008) Matthew R. Vernon et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Incidence Trends for Human Papillomavirus–Related and –Unrelated Oral Squamous Cell Carcinomas in the United States

(2008) Anil K. Chaturvedi et al.   JOURNAL OF CLINICAL ONCOLOGY