Publications

Peer-reviewed papers and manuscripts in review on multimodal medical AI, radiology report generation and vision-language models.

Peer-reviewed (listed)
27
Oral presentations
7
In review
6
Citations (Google Scholar)
1.4K+
h-index
14

In review 6

Claims You Can See: Differential-Evidence Learning of Temporal Assertions for Longitudinal Radiology Report Generation

Shaik, Nagur Shareef et al.

Under review (CVPR 2027)

Under reviewManuscript

Dist-RRG: Distributional Change Modeling on Statistical Manifolds for Longitudinal Radiology Report Generation

Shaik, Nagur Shareef et al.

Under review (ICLR 2027)

Under reviewManuscript

Evidence That Can Contradict: What Report-Auditing Metrics Actually Measure in Medical Vision Language Models

Shaik, Nagur Shareef et al.

Under review (ICLR 2027)

Under reviewManuscript

Oculo-MoE: Retina-Anchored, Interaction-Gated Mixture-of-Experts for Bilateral Multimodal Oculomics

Shaik, Nagur Shareef; Park, J.; Kim, Y.-J.; Jo, Y.; Ye, Dong Hye

Submitted to the IEEE International Symposium on Biomedical Imaging (ISBI) 2027

SubmittedManuscript

SC-CoMoE: Self-Critiquing Cooperative Mixture-of-Experts for Multi-Modal Mobile Oculomics

Shaik, Nagur Shareef; Park, J.; Kim, Y.-J.; Jung, J.; Oh, H.; Ye, Dong Hye

Submitted to the IEEE International Symposium on Biomedical Imaging (ISBI) 2027

SubmittedManuscript

STRIDE: Stochastic Trajectory Reasoning via Iterative Distributional Evolution in Longitudinal Radiology Report Generation

Shaik, Nagur Shareef et al.

Under review (AAAI 2027)

Under reviewManuscript

2026 5

C²A: Coupling Spatial Evidence with Clinical Priors via Co-occurrence Aware Class Attention for Multi-Label Chest X-Ray Classification

Gogineni, Akash; Shaik, Nagur Shareef; Mandava, Aasrith; Masood, Adnan; Ye, Dong Hye

Proceedings of the 36th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2026), 2026

OralWorkshopPaper: C²A: Coupling Spatial Evidence with Clinical Priors via Co-occurrence Aware Class Attention for Multi-Label Chest X-Ray Classification

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

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

Proceedings of the 40th Annual Conference on Association for the Advancement of Artificial Intelligence (AAAI 2026), 2026

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

Disentangling Co-Occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Shaik, Nagur Shareef; Park, Jeongwoo; Kim, Yeong-Jin; Jung, Jaeuk; Oh, Hyunjung; Ye, Dong Hye

Proceedings of the 36th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2026), 2026

OralWorkshopPaper: Disentangling Co-Occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

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

Shaik, Nagur Shareef; Cherukuri, Teja Krishna; Ye, Dong Hye

Proceedings of the 48th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026

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

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

Shaik, Nagur Shareef; Cherukuri, Teja Krishna; Ye, Dong Hye

Proceedings of the 48th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026

Conference · PosterPaper: Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging

2025 5

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

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

47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025

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

Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging

Shaik, Nagur Shareef; Naralasetti, Veeranjaneyulu; Bodapati, Jyostna Devi

Machine Vision and Applications, Springer Berlin Heidelberg Berlin/Heidelberg, 2025

JournalPaper: Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging

GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning

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

Proceedings of the 50th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Conference · PosterPaper: GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning

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

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging (ISBI), 2025

Conference · PosterPaper: Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification

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

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

39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance, 2025

Workshop · PosterPaper: Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading

2024 5

M3T: Multi-Modal Medical Transformer to Bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation

Shaik, Nagur Shareef; Cherukuri, Teja Krishna; Ye, Dong Hye

Proceedings of the IEEE International Conference on Image Processing (ICIP), 2024

OralConferencePaper: M3T: Multi-Modal Medical Transformer to Bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation

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

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

Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI), 2024

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

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

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Image and Vision Computing, Elsevier B.V., 2024

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

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

Cherukuri, Teja Krishna; Shaik, Nagur Shareef; Ye, Dong Hye

Proceedings of the IEEE International Conference on Image Processing (ICIP), 2024

Conference · PosterPaper: Guided Context Gating: Learning to Leverage Salient Lesions in Retinal Fundus Images

Medtransnet: advanced gating transformer network for medical image classification

Shaik, Nagur Shareef; Cherukuri, Teja Krishna; Naralasetti, Veeranjaneyulu; Bodapati, Jyostna Devi

Machine Vision and Applications, Springer Berlin Heidelberg Berlin/Heidelberg, 2024

JournalPaper: Medtransnet: advanced gating transformer network for medical image classification

2022 2

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

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Applied Intelligence, Springer US New York, 2022

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

Visual attention based composite dense neural network for facial expression recognition

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Journal of Ambient Intelligence and Humanized Computing, Springer Berlin Heidelberg Berlin/Heidelberg, 2022

JournalPaper: Visual attention based composite dense neural network for facial expression recognition

2021 7

Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification

Bodapati, Jyostna Devi; Shaik, Nagur Shareef; Naralasetti, Veeranjaneyulu

Journal of Ambient Intelligence and Humanized Computing, Springer Berlin Heidelberg Berlin/Heidelberg, 2021

JournalPaper: Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification

Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction

Bodapati, Jyostna Devi; Shaik, Nagur Shareef; Naralasetti, Veeranjaneyulu

Signal Image and Video Processing, Springer London, 2021

JournalPaper: Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction

Joint training of two-channel deep neural network for brain tumor classification

Bodapati, Jyostna Devi; Shaik, Nagur Shareef; Naralasetti, Veeranjaneyulu; Mundukur, Nirupama Bhat

Signal Image and Video Processing, Springer London, 2021

JournalPaper: Joint training of two-channel deep neural network for brain tumor classification

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

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Machine Vision and Applications, Springer Berlin Heidelberg Berlin/Heidelberg, 2021

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

MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction

Bodapati, Jyostna Devi; Shaik, Nagur Shareef; Naralasetti, Veeranjaneyulu; Mundukur, Nirupama Bhat

International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), World Scientific, 2021

JournalPaper: MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction

Multi-level attention network: application to brain tumor classification

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Signal Image and Video Processing, Springer London, 2021

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

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

Shaik, Nagur Shareef and Cherukuri, Teja Krishna

Computers in Biology and Medicine, Elsevier B.V., 2021

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

2020 2

Blended multi-modal deep convnet features for diabetic retinopathy severity prediction

Bodapati, Jyostna Devi; Naralasetti, Veeranjaneyulu; Shaik, Nagur Shareef; Hakak, Saqib; Bilal, Muhammad; Maddikunta, Praveen Kumar Reddy; Jo, Ohyun

Electronics, Multidisciplinary Digital Publishing Institute (MDPI), 2020

JournalPaper: Blended multi-modal deep convnet features for diabetic retinopathy severity prediction

Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification

Dondeti, Venkatesulu; Bodapati, Jyostna Devi; Shaik, Nagur Shareef; Veeranjaneyulu, Naralasetti

Revue d'Intelligence Artificielle, International Information and Engineering Technology Association (IIETA), 2020

JournalPaper: Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification

2019 1

Sentiment Analysis from Movie Reviews Using LSTMs.

Bodapati, Jyostna Devi; Naralasetti, Veeranjaneyulu; Shaik, Nagur Shareef

Ingénierie des Systèmes d Inf., International Information and Engineering Technology Association (IIETA), 2019

JournalPaper: Sentiment Analysis from Movie Reviews Using LSTMs.