Sadegh Alam
Memorial Sloan Kettering Cancer Center(US)
Publications by Year
Research Areas
Lung Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, Advanced Radiotherapy Techniques, Medical Imaging Techniques and Applications, Esophageal Cancer Research and Treatment
Most-Cited Works
- → External validation of radiomics‐based predictive models in low‐dose CT screening for early lung cancer diagnosis(2020)43 cited
- → Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients(2022)42 cited
- → Early Prediction of Acute Esophagitis for Adaptive Radiation Therapy(2021)22 cited
- → Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer(2020)22 cited
- → Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer(2022)22 cited
- → Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy(2022)19 cited
- → Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening(2020)17 cited
- → Generalizable cone beam CT esophagus segmentation using physics-based data augmentation(2021)17 cited
- → Preoperative 18F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma(2023)15 cited
- → Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network(2020)14 cited