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Teja Krishna Cherukuri
Teja Krishna Cherukuri
Graduate Research Assistant at Georgia State University
在 gsu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
NS Shaik, TK Cherukuri
Computers in Biology and Medicine 141, 105127, 2022
802022
Multi-level attention network: application to brain tumor classification
NS Shaik, TK Cherukuri
Signal, Image and Video Processing 16 (3), 817-824, 2022
772022
Hinge attention network: A joint model for diabetic retinopathy severity grading
NS Shaik, TK Cherukuri
Applied Intelligence 52 (13), 15105-15121, 2022
422022
Lesion-aware attention with neural support vector machine for retinopathy diagnosis
NS Shaik, TK Cherukuri
Machine Vision and Applications 32 (6), 126, 2021
282021
Visual attention based composite dense neural network for facial expression recognition
NS Shaik, TK Cherukuri
Journal of Ambient Intelligence and Humanized Computing 14 (12), 16229-16242, 2023
92023
Gated contextual transformer network for multi-modal retinal image clinical description generation
NS Shaik, TK Cherukuri
Image and Vision Computing 143 (C), 2024
42024
Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images
NS Shaik, TK Cherukuri, V Calhoun, DH Ye
arXiv preprint arXiv:2406.12683, 2024
12024
Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification
NS Shaik, TK Cherukuri, VD Calhoun, DH Ye
arXiv preprint arXiv:2407.19385, 2024
2024
Medtransnet: advanced gating transformer network for medical image classification
NS Shaik, TK Cherukuri, N Veeranjaneulu, JD Bodapati
Machine Vision and Applications 35 (4), 73, 2024
2024
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation
NS Shaik, TK Cherukuri, DH Ye
arXiv preprint arXiv:2406.13129, 2024
2024
Guided Context Gating: Learning to leverage salient lesions in retinal fundus images
TK Cherukuri, NS Shaik, DH Ye
arXiv preprint arXiv:2406.13126, 2024
2024
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