Curvature orientation histograms for detection and matching of vascular landmarks in retinal images. - Keerthi Ram; Yogesh Babu Bathina; Jayanthi Sivaswamy (Image Processing, 2009)

A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy. - Keerthi Ram; Gopal Datt Joshi; Jayanthi Sivaswamy (IEEE Trans. Biomed. Eng., 2011)

Computer-assisted identification of proliferative diabetic retinopathy in color retinal images. - Garima Gupta; Selvaraj Kulasekaran; Keerthi Ram; Niranjan Joshi; Mohanasankar Sivaprakasam; Rashmin Gandhi (EMBC, 2015)

Computer-assisted grading of diabetic macular edema on retinal color fundus images. - Vaanathi Sundaresan; Keerthi Ram; Niranjan Joshi; Mohanasankar Sivaprakasam; Rashmin Gandhi (EMBC, 2015)

Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks. - Sharath M. Shankaranarayana; Keerthi Ram; Kaushik Mitra; Mohanasankar Sivaprakasam (FIFI/OMIA@MICCAI, 2017)

Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images. - Garima Gupta; S. Kulasekaran; Keerthi Ram; Niranjan Joshi; Mohanasankar Sivaprakasam; Rashmin Gandhi (Comput. Medical Imaging Graph., 2017)

ECGNet: Deep Network for Arrhythmia Classification. - Balamurali Murugesan; Vignesh Ravichandran; Keerthi Ram; S. P. Preejith; Jayaraj Joseph; Sharath M. Shankaranarayana; Mohanasankar Sivaprakasam (MeMeA, 2018)

A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. - Sharath M. Shankaranarayana; Keerthi Ram; Anand Vinekar; Kaushik Mitra; Mohanasankar Sivaprakasam (COMPAY/OMIA@MICCAI, 2018)

Segmentation of Femoral Cartilage from Knee Ultrasound Images Using Mask R-CNN. - Gayatri Kompella; Maria Antico; Fumio Sasazawa; S. Jeevakala; Keerthi Ram; Davide Fontanarosa; Ajay K. Pandey; Mohanasankar Sivaprakasam (EMBC, 2019)

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2019)

Polyp Segmentation using Generative Adversarial Network. - J. M. Poomeshwaran; Kumar S. Santhosh; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2019)

RespNet: A deep learning model for extraction of respiration from photoplethysmogram. - Vignesh Ravichandran; Balamurali Murugesan; Vaishali Balakarthikeyan; Keerthi Ram; Preejith S. P; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2019)

Validation of a Customized Algorithm for the Detection of Diabetic Retinopathy from Single-Field Fundus Photographs in a Tertiary Eye Care Hospital. - Sheila John; Sangeetha Srinivasan; Rajiv Raman 002; Keerthi Ram; Mohanasankar Sivaprakasam (MedInfo, 2019)

Deep Network for Capacitive ECG Denoising. - Vignesh Ravichandran; Balamurali Murugesan; Sharath M. Shankaranarayana; Keerthi Ram; Preejith S. P; Jayaraj Joseph; Mohanasankar Sivaprakasam (MeMeA, 2019)

Early detection of retinopathy of prematurity stage using deep learning approach. - Supriti Mulay; Keerthi Ram; Mohanasankar Sivaprakasam; Anand Vinekar (Computer-Aided Diagnosis, 2019)

Liver Segmentation from Multimodal Images Using HED-Mask R-CNN. - Supriti Mulay; G. Deepika; S. Jeevakala; Keerthi Ram; Mohanasankar Sivaprakasam (MMMI@MICCAI, 2019)

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (MLMI@MICCAI, 2019)

Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. - Balamurali Murugesan; Vijaya Raghavan S; Kaushik Sarveswaran; Keerthi Ram; Mohanasankar Sivaprakasam (MLMIR@MICCAI, 2019)

Deep detection and classification of mitotic figures. - Balamurali Murugesan; Sakthivel Selvaraj; Kaushik Sarveswaran; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (Digital Pathology, 2019)

Joint shape learning and segmentation for medical images using a minimalistic deep network. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (CoRR, 2019)

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (CoRR, 2019)

RespNet: A deep learning model for extraction of respiration from photoplethysmogram. - Vignesh Ravichandran; Balamurali Murugesan; Vaishali Balakarthikeyan; Sharath M. Shankaranarayana; Keerthi Ram; S. P. Preejith; Jayaraj Joseph; Mohanasankar Sivaprakasam (CoRR, 2019)

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. - Sharath M. Shankaranarayana; Keerthi Ram; Kaushik Mitra; Mohanasankar Sivaprakasam (IEEE J. Biomed. Health Informatics, 2019)

MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss. - Sriprabha Ramanarayanan; Balamurali Murugesan; Ananth Kalyanasundaram; Surya Prabhakaran; Keerthi Ram; Shantanu Patil; Mohanasankar Sivaprakasam (EMBC, 2020)

Dual-Encoder-Unet For Fast Mri Reconstruction. - Amrit Kumar Jethi; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI Workshops, 2020)

A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Vijaya Raghavan S; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2020)

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2020)

Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods. - Poojitha Uthappa P; Keerthi Ram; P. M. Nabeel; Raj Kiran V.; Jayaraj Joseph; Mohanasankar Sivaprakasam (MeMeA, 2020)

AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. - JayaChandra Raju; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (MLMIR@MICCAI, 2020)

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. - Balamurali Murugesan; Sricharan Vijayarangan; Kaushik Sarveswaran; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2020)

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2020)

Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques. - S. Jeevakala; C. Sreelakshmi; Keerthi Ram; Rajeswaram Rangasami; Mohanasankar Sivaprakasam (Int. J. Comput. Assist. Radiol. Surg., 2020)

Detection and skeletonization of single neurons and tracer injections using topological methods. - Dingkang Wang; Lucas Magee; Bing-Xing Huo; Samik Banerjee; Xu Li 003; Jaikishan Jayakumar; Meng-Kuan Lin; Keerthi Ram; Suyi Wang; Yusu Wang 001; Partha P. Mitra (CoRR, 2020)

Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks. - Sharath M. Shankaranarayana; Keerthi Ram; Kaushik Mitra; Mohanasankar Sivaprakasam (CoRR, 2020)

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. - Samik Banerjee; Lucas Magee; Dingkang Wang; Xu Li 003; Bing-Xing Huo; Jaikishan Jayakumar; Katherine Matho; Meng-Kuan Lin; Keerthi Ram; Mohanasankar Sivaprakasam; Z. Josh Huang; Yusu Wang 001; et al. (Nat. Mach. Intell., 2020)

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram. - Supriti Mulay; Keerthi Ram; Balamurali Murugesan; Mohanasankar Sivaprakasam (ICCVW, 2021)

Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images. - Madhu Mithra K. K; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2021)

MIST GAN: Modality Imputation Using Style Transfer for MRI. - JayaChandra Raju; Gayatri Kompella; Keerthi Ram; Rajeswaran Rangasami; Rajoo Ramachandran; Mohanasankar Sivaprakasam (MLMI@MICCAI, 2021)

A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. - Balamurali Murugesan; Sriprabha Ramanarayanan; Sricharan Vijayarangan; Keerthi Ram; Naranamangalam R. Jagannathan; Mohanasankar Sivaprakasam (Comput. Medical Imaging Graph., 2021)

Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime. - Amrit Kumar Jethi; Roberto Souza 001; Keerthi Ram; Mohanasankar Sivaprakasam (EMBC, 2022)

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. - Nicky Nirlipta Sahoo; Balamurali Murugesan; Ayantika Das; Srinivasa Karthik; Keerthi Ram; Steffen Leonhardt; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2022)

A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI. - Ayantika Das; Arun Palla; Keerthi Ram; Mohanasankar Sivaprakasam (MAD@MICCAI, 2022)

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning. - Arun Palla; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (EMBC, 2023)

Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. - Pralaypati Ta; Bhumika Gupta; Arihant Jain; Sneha Sree C; Arunima Sarkar; Keerthi Ram; Mohanasankar Sivaprakasam (EMBC, 2023)

HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction. - Sriprabha Ramanarayanan; Mohammad Al Fahim; Rahul G. S.; Amrit Kumar Jethi; Keerthi Ram; Mohanasankar Sivaprakasam (ICCV (Workshops), 2023)

Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields. - K. H. Aqil; Tanvi Kulkarni; Jaikishan Jayakumar; Keerthi Ram; Mohanasankar Sivaprakasam (PRIME@MICCAI, 2023)

Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors. - Sneha Sree C; Mohammad Al Fahim; Keerthi Ram; Mohanasankar Sivaprakasam (ShapeMI@MICCAI, 2023)

Diffusion Model Based Knee Cartilage Segmentation in MRI. - Veerasravanthi Mudiyam; Ayantika Das; Keerthi Ram; Mohanasankar Sivaprakasam (DGM4MICCAI, 2023)

SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction. - Rahul G. S.; Sriprabha Ramanarayanan; Mohammad Al Fahim; Keerthi Ram; Preejith S. P; Mohanasankar Sivaprakasam (MILLanD@MICCAI, 2023)

SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction. - NagaGayathri Matcha; Sriprabha Ramanarayanan; Mohammad Al Fahim; Rahul G. S.; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2023)

Learning to atlas register for rapid segmentation of brain structures in fetal MRI. - Tanvi Kulkarni; K. H. Aqil; Jaikishan Jayakumar; Keerthi Ram; Mohanasankar Sivaprakasam (Image Processing, 2023)

Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks. - Sriprabha Ramanarayanan; Arun Palla; Keerthi Ram; Mohanasankar Sivaprakasam (Appl. Soft Comput., 2023)

MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Arun Palla; Keerthi Ram; Ramesh Venkatesan; Mohanasankar Sivaprakasam (Neurocomputing, 2023)

Attention adaptive instance normalization style transfer for vascular segmentation using deep learning. - Supriti Mulay; Keerthi Ram; Mohanasankar Sivaprakasam (Appl. Intell., 2023)

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs. - Bhumika Gupta; Pralaypati Ta; Keerthi Ram; Mohanasankar Sivaprakasam (CIBCB, 2024)

DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs. - Kishore Kumar M; Sriprabha Ramanarayanan; Sadhana S; Arunima Sarkar; Matcha Naga Gayathri; Keerthi Ram; Mohanasankar Sivaprakasam (CVPR Workshops, 2024)

Knowledge Models for Cancer Clinical Practice Guidelines: Construction, Management and Usage in Question Answering. - Pralaypati Ta; Bhumika Gupta; Arihant Jain; Sneha Sree C; Keerthi Ram; Mohanasankar Sivaprakasam (EMBC, 2024)

DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI. - Sadhana S; Sriprabha Ramanarayanan; Arunima Sarkar; Keerthi Ram; NagaGayathri Matcha; Suresh Emmanuel Joel; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ISBI, 2024)

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks. - Tanvi Kulkarni; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2024)

Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder. - Kumari Rashmi; Ayantika Das; NagaGayathri Matcha; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2024)

A Hybrid-Layered System for Image-Guided Navigation and Robot-Assisted Spine Surgeries. - T. A Suhail Ansari; Vivek Maik; Minhas Naheem; Keerthi Ram; Manojkumar Lakshmanan; Mohanasankar Sivaprakasam (SII, 2024)

A Hybrid-Layered System for Image-Guided Navigation and Robot Assisted Spine Surgery. - T. A Suhail Ansari; Vivek Maik; Minhas Naheem; Keerthi Ram; Manojkumar Lakshmanan; Mohanasankar Sivaprakasam (CoRR, 2024)

A Hybrid-Layered System for Image-Guided Navigation and Robot Assisted Spine Surgeries. - Suhail Ansari T; Vivek Maik; Minhas Naheem; Keerthi Ram; Manojkumar Lakshmanan; Mohanasankar Sivaprakasam (CoRR, 2024)

OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction. - Mohammad Al Fahim; Sriprabha Ramanarayanan; Rahul G. S.; NagaGayathri Matcha; Arunima Sarkar; Keerthi Ram; Mohanasankar Sivaprakasam (Image Vis. Comput., 2024)

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis. - Divya Bharti; Sriprabha Ramanarayanan; Sadhana S; Kishore Kumar M; Keerthi Ram; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ICASSP, 2025)

Medframealign: 3D Histological Reconstructions Using Video Frame Interpolation Techniques. - Koushik Bhat; Ayantika Das; Supriti Mulay; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2025)

SMatt-DINO: Spatially Aware Masked Attention Network for High Resolution Brain Image Classification. - Moitreya Chaudhuri; Ayantika Das; Keerthi Ram; Mohanasankar Sivaprakasam (MIUA (1), 2025)

KDPhys: An attention guided 3D to 2D knowledge distillation for real-time video-based physiological measurement. - Nicky Nirlipta Sahoo; Vs Sachidanand; Matcha Naga Gayathri; Balamurali Murugesan; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (Biomed. Signal Process. Control., 2025)

AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI. - Arunima Sarkar; Ayantika Das; Keerthi Ram; Sriprabha Ramanarayanan; Suresh Emmanuel Joel; Mohanasankar Sivaprakasam (Comput. Methods Programs Biomed., 2025)

SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction. - Sriprabha Ramanarayanan; Rahul G. S.; Mohammad Al Fahim; Keerthi Ram; Ramesh Venkatesan; Mohanasankar Sivaprakasam (Neural Networks, 2025)

Entity-Augmented Neuroscience Knowledge Retrieval Using Ontology and Semantic Understanding Capability of LLM. - Pralaypati Ta; Sriram Venkatesaperumal; Keerthi Ram; Mohanasankar Sivaprakasam (CoRR, 2025)

PosDiffAE: Position-aware Diffusion Auto-encoder For High-Resolution Brain Tissue Classification Incorporating Artifact Restoration. - Ayantika Das; Moitreya Chaudhuri; Koushik Bhat; Keerthi Ram; Mihail Bota; Mohanasankar Sivaprakasam (CoRR, 2025)