Keerthi Ram

According to our database, Keerthi Ram authored at least 62 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

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

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.

T. A Suhail Ansari, Vivek Maik, Minhas Naheem, Keerthi Ram, Manojkumar Lakshmanan, Mohanasankar Sivaprakasam

Proceedings of the IEEE/SICE International Symposium on System Integration, 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 Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs.

Bhumika Gupta, Pralaypati Ta, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023

Attention adaptive instance normalization style transfer for vascular segmentation using deep learning.

Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam

Appl. Intell., December, 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, October, 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., October, 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

Proceedings of the Medical Imaging 2023: Image Processing, 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

Proceedings of the Medical Imaging with Deep Learning, 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

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Diffusion Model Based Knee Cartilage Segmentation in MRI.

Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors.

Sneha Sree C, Mohammad Al Fahim, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields.

K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automated Knowledge Modeling for Cancer Clinical Practice Guidelines.

Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning.

Arun Palla, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI.

Ayantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime.

Amrit Kumar Jethi, Roberto Souza, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

MIST GAN: Modality Imputation Using Style Transfer for MRI.

JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images.

Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram.

Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks.

Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra

Nat. Mach. Intell., 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

Detection and skeletonization of single neurons and tracer injections using topological methods.

Dingkang Wang, Lucas Magee, Bing-Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng-Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra

CoRR, 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

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis.

JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Machine Learning for Medical Image Reconstruction, 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

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction.

Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Dual-Encoder-Unet For Fast Mri Reconstruction.

Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

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

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

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

Deep detection and classification of mitotic figures.

Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the Medical Imaging 2019: Digital Pathology, 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

Proceedings of the Machine Learning for Medical Image Reconstruction, 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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Liver Segmentation from Multimodal Images Using HED-Mask R-CNN.

Supriti Mulay, G. Deepika, S. Jeevakala, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Early detection of retinopathy of prematurity stage using deep learning approach.

Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam, Anand Vinekar

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Deep Network for Capacitive ECG Denoising.

Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 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, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Polyp Segmentation using Generative Adversarial Network.

J. M. Poomeshwaran, Kumar S. Santhosh, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images.

Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

ECGNet: Deep Network for Arrhythmia Classification.

Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018

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

Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks.

Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2015

Computer-assisted grading of diabetic macular edema on retinal color fundus images.

Vaanathi Sundaresan, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Computer-assisted identification of proliferative diabetic retinopathy in color retinal images.

Garima Gupta, Selvaraj Kulasekaran, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011

A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy.

Keerthi Ram, Gopal Datt Joshi, Jayanthi Sivaswamy

IEEE Trans. Biomed. Eng., 2011

2009

Curvature orientation histograms for detection and matching of vascular landmarks in retinal images.

Keerthi Ram, Yogesh Babu Bathina, Jayanthi Sivaswamy

Proceedings of the Medical Imaging 2009: Image Processing, 2009