Siddhesh Thakur
Indiana University Health(US)University of Indianapolis(US)Indiana University School of MedicineIndiana University – Purdue University Indianapolis(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Brain Tumor Detection and Classification, Glioma Diagnosis and Treatment, Advanced Neural Network Applications
Most-Cited Works
- → The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview(2020)87 cited
- → Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training(2020)83 cited
- → Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas(2019)56 cited
- → Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation(2020)49 cited
- → Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset(2020)42 cited
- → The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research(2022)40 cited