Teja Krishna Cherukuri

Orcid: 0000-0002-4952-728X

According to our database1, Teja Krishna Cherukuri authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis.
CoRR, April, 2025

Multi-Modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Medtransnet: advanced gating transformer network for medical image classification.
Mach. Vis. Appl., July, 2024

Gated contextual transformer network for multi-modal retinal image clinical description generation.
Image Vis. Comput., 2024

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

M3T: Multi-Modal Medical Transformer To Bridge Clinical Context With Visual Insights For Retinal Image Medical Description Generation.
Proceedings of the IEEE International Conference on Image Processing, 2024

Guided Context Gating: Learning To Leverage Salient Lesions in Retinal Fundus Images.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Visual attention based composite dense neural network for facial expression recognition.
J. Ambient Intell. Humaniz. Comput., December, 2023

2022
Multi-level attention network: application to brain tumor classification.
Signal Image Video Process., 2022

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans.
Comput. Biol. Medicine, 2022

Hinge attention network: A joint model for diabetic retinopathy severity grading.
Appl. Intell., 2022

2021
Lesion-aware attention with neural support vector machine for retinopathy diagnosis.
Mach. Vis. Appl., 2021


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