Keerthi Ram
Orcid: 0000-0002-0555-1923
According to our database1,
Keerthi Ram
authored at least 55 papers
between 2009 and 2024.
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Bibliography
2024
A Hybrid-Layered System for Image-Guided Navigation and Robot-Assisted Spine Surgeries.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
2023
Attention adaptive instance normalization style transfer for vascular segmentation using deep learning.
Appl. Intell., December, 2023
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction.
Neurocomputing, October, 2023
Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks.
Appl. Soft Comput., October, 2023
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.
Proceedings of the Medical Imaging with Deep Learning, 2023
SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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.
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.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
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.
Comput. Medical Imaging Graph., 2021
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
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.
Nat. Mach. Intell., 2020
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks.
CoRR, 2020
Detection and skeletonization of single neurons and tracer injections using topological methods.
CoRR, 2020
Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques.
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.
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.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
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.
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.
IEEE J. Biomed. Health Informatics, 2019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram.
CoRR, 2019
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation.
CoRR, 2019
Joint shape learning and segmentation for medical images using a minimalistic deep network.
CoRR, 2019
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
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.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
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.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
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.
Comput. Medical Imaging Graph., 2017
Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2015
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.
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.
IEEE Trans. Biomed. Eng., 2011
2009
Curvature orientation histograms for detection and matching of vascular landmarks in retinal images.
Proceedings of the Medical Imaging 2009: Image Processing, 2009