C. G. Bangalore Yogananda

发表

MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O6-METHYLGUANINE–DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2020, bioRxiv.

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2019, bioRxiv.

Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction

J. Maldjian, Y. Xi, A. Madhuranthakam, 2022, Journal of medical imaging.

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, bioRxiv.

Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning

Sahil Nalawade, Ben Wagner, Joseph A Maldjian, 2019, Journal of medical imaging.

Classification of Brain Tumor IDH Status using MRI and Deep Learning

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2019, bioRxiv.

A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, Tomography.

MRI-Based Deep Learning Method for Classification of IDH Mutation Status

A. Madhuranthakam, B. Wagner, K. Hatanpaa, 2023, Bioengineering.

GAN-based motion artifact correction of 3D MR volumes using an image-to-image translation algorithm

A. Madhuranthakam, C. G. Bangalore Yogananda, J. A. Maldjian, 2024, Medical Imaging.

Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma

A. Madhuranthakam, K. Hatanpaa, J. Holcomb, 2024, Radiology. Artificial intelligence.