Teja Krishna Cherukuri

According to our database, Teja Krishna Cherukuri authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye

CoRR, April, 2026

DREAM: Dynamic Retinal Enhancement with Adaptive Multi-modal Fusion for Expert Precision Medical Report Generation.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye

CoRR, April, 2026

DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Dong Hye Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Ehsan Adeli, Dong Hye Ye

CoRR, September, 2025

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

Teja Krishna Cherukuri, Nagur Shareef Shaik, Sribhuvan Reddy Yellu, Jun-Won Chung, Dong Hye Ye

CoRR, April, 2025

Multi-Modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye

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.

Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Medtransnet: advanced gating transformer network for medical image classification.

Nagur Shareef Shaik, Teja Krishna Cherukuri, N. Veeranjaneulu, Jyostna Devi Bodapati

Mach. Vis. Appl., July, 2024

Gated contextual transformer network for multi-modal retinal image clinical description generation.

Nagur Shareef Shaik, Teja Krishna Cherukuri

Image Vis. Comput., 2024

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye

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.

Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye

Proceedings of the IEEE International Conference on Image Processing, 2024

Guided Context Gating: Learning To Leverage Salient Lesions in Retinal Fundus Images.

Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Visual attention based composite dense neural network for facial expression recognition.

Nagur Shareef Shaik, Teja Krishna Cherukuri

J. Ambient Intell. Humaniz. Comput., December, 2023

2022

Multi-level attention network: application to brain tumor classification.

Nagur Shareef Shaik, Teja Krishna Cherukuri

Signal Image Video Process., 2022

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans.

Nagur Shareef Shaik, Teja Krishna Cherukuri

Comput. Biol. Medicine, 2022

Hinge attention network: A joint model for diabetic retinopathy severity grading.

Nagur Shareef Shaik, Teja Krishna Cherukuri

Appl. Intell., 2022

2021

Lesion-aware attention with neural support vector machine for retinopathy diagnosis.

Nagur Shareef Shaik, Teja Krishna Cherukuri

Mach. Vis. Appl., 2021