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ORCIDAliasgar Moiyadi
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2020 – today
- 2023
[j4]Manoj Kumar
, Aliasgar Moiyadi, Narayan Rangaraj, Santosh Noronha, Prakash Shetty, Vikas Kumar Singh, Amit Kumar Choudhari:
Implications of use of different intraoperative ultrasound modalities during glioma surgery - A comparative study of factors affecting outcomes. Int. J. Medical Informatics 177: 105154 (2023)- 2022
- [j3]Manoj Kumar, Santosh Noronha, Narayan Rangaraj, Aliasgar Moiyadi, Prakash Shetty, Vikas Kumar Singh:
Choice of intraoperative ultrasound adjuncts for brain tumor surgery. BMC Medical Informatics Decis. Mak. 22(1): 307 (2022) - 2020
- [j2]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020) - [j1]Ujjwal Baid, Swapnil Rane, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan:
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. Frontiers Comput. Neurosci. 14: 61 (2020)
2010 – 2019
- 2018
- [c1]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh Thakur, Abhishek Mahajan:
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. BrainLes@MICCAI (2) 2018: 369-379
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