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Insights Into Imaging|June 10, 2020
Convolutional neural networks for brain tumour segmentationAbhishta Bhandari, Jarrad Koppen, Marc AgzarianNeuroradiology|February 6, 2023
Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM)Abhishta Bhandari, Luke Scott, Manuela Weilbach, et al.Clinical Imaging|September 19, 2021
Knowledge and attitudes towards artificial intelligence in imaging: a look at the quantitative survey literatureAbhishta Bhandari, Sai Navya Purchuri, Chinmay Sharma, et al.Neuroradiology|April 3, 2021
The role of 2-hydroxyglutarate magnetic resonance spectroscopy for the determination of isocitrate dehydrogenase status in lower grade gliomas versus glioblastoma: a systematic review and meta-analysis of diagnostic test accuracyAbhishta Bhandari, Chinmay Sharma, Muhammad Ibrahim, et al.Abdominal Radiology (New York)|November 2, 2020
CT-based radiomics for differentiating renal tumours: a systematic reviewAbhishta Bhandari, Muhammad Ibrahim, Chinmay Sharma, et al.Journal of Medical Imaging and Radiation Oncology|May 23, 2022
Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysisAbhishta Bhandari, Ravi Marwah, Justin Smith, et al.Pageof 1