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2020 – today
- 2024
[j10]Mohammad Al Fahim, Sriprabha Ramanarayanan, Rahul G. S., NagaGayathri Matcha, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam:
OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction. Image Vis. Comput. 150: 105228 (2024)- [c44]Bhumika Gupta, Pralaypati Ta, Keerthi Ram, Mohanasankar Sivaprakasam:
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs. CIBCB 2024: 1-8 - [c43]Kishore Kumar M, Sriprabha Ramanarayanan, Sadhana S, Arunima Sarkar, Matcha Naga Gayathri, Keerthi Ram, Mohanasankar Sivaprakasam:
DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs. CVPR Workshops 2024: 5174-5183 - [c42]Sadhana S, Sriprabha Ramanarayanan, Arunima Sarkar, Keerthi Ram, NagaGayathri Matcha, Suresh Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam:
DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI. ISBI 2024: 1-5 - [c41]T. A Suhail Ansari, Vivek Maik, Minhas Naheem, Keerthi Ram, Manojkumar Lakshmanan, Mohanasankar Sivaprakasam:
A Hybrid-Layered System for Image-Guided Navigation and Robot-Assisted Spine Surgeries. SII 2024: 1452-1457 - [i28]T. A Suhail Ansari, Vivek Maik, Minhas Naheem, Keerthi Ram, Manojkumar Lakshmanan, Mohanasankar Sivaprakasam:
A Hybrid-Layered System for Image-Guided Navigation and Robot Assisted Spine Surgery. CoRR abs/2406.04644 (2024) - [i27]Suhail Ansari T, Vivek Maik, Minhas Naheem, Keerthi Ram, Manojkumar Lakshmanan, Mohanasankar Sivaprakasam:
A Hybrid-Layered System for Image-Guided Navigation and Robot Assisted Spine Surgeries. CoRR abs/2407.01578 (2024) - [i26]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Keerthi Ram, Mohanasankar Sivaprakasam:
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering. CoRR abs/2407.21053 (2024) - 2023
- [j9]Supriti Mulay
, Keerthi Ram, Mohanasankar Sivaprakasam:
Attention adaptive instance normalization style transfer for vascular segmentation using deep learning. Appl. Intell. 53(24): 29638-29655 (2023) - [j8]Sriprabha Ramanarayanan, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam:
Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks. Appl. Soft Comput. 146: 110633 (2023) - [j7]Sriprabha Ramanarayanan, Balamurali Murugesan, Arun Palla, Keerthi Ram, Ramesh Venkatesan, Mohanasankar Sivaprakasam:
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. Neurocomputing 554: 126606 (2023) - [c40]Arun Palla, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning. EMBC 2023: 1-5 - [c39]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam:
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. EMBC 2023: 1-4 - [c38]Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Amrit Kumar Jethi, Keerthi Ram, Mohanasankar Sivaprakasam:
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction. ICCV (Workshops) 2023: 2384-2393 - [c37]K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam:
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields. PRIME@MICCAI 2023: 58-69 - [c36]Sneha Sree C, Mohammad Al Fahim, Keerthi Ram, Mohanasankar Sivaprakasam:
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors. ShapeMI@MICCAI 2023: 118-132 - [c35]Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam:
SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction. MILLanD@MICCAI 2023: 138-147 - [c34]Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam:
Diffusion Model Based Knee Cartilage Segmentation in MRI. DGM4MICCAI 2023: 204-213 - [c33]NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Keerthi Ram, Mohanasankar Sivaprakasam:
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction. MIDL 2023: 1423-1440 - [c32]Tanvi Kulkarni, K. H. Aqil, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam:
Learning to atlas register for rapid segmentation of brain structures in fetal MRI. Medical Imaging: Image Processing 2023 - [i25]NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Keerthi Ram, Mohanasankar Sivaprakasam:
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction. CoRR abs/2304.05057 (2023) - [i24]Arun Palla, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning. CoRR abs/2304.06378 (2023) - [i23]Sriprabha Ramanarayanan, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam:
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks. CoRR abs/2307.06771 (2023) - [i22]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam:
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. CoRR abs/2307.10231 (2023) - [i21]Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam:
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction. CoRR abs/2308.04262 (2023) - [i20]Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Amrit Kumar Jethi, Keerthi Ram, Mohanasankar Sivaprakasam:
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction. CoRR abs/2308.04821 (2023) - [i19]Sneha Sree C, Mohammad Al Fahim, Keerthi Ram, Mohanasankar Sivaprakasam:
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors. CoRR abs/2308.05068 (2023) - 2022
- [c31]Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. EMBC 2022: 1327-1330 - [c30]Amrit Kumar Jethi, Roberto Souza, Keerthi Ram, Mohanasankar Sivaprakasam:
Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime. EMBC 2022: 2080-2083 - [c29]Ayantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam:
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI. MAD@MICCAI 2022: 111-125 - [i18]JayaChandra Raju, Subha Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. CoRR abs/2202.10396 (2022) - [i17]Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam:
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. CoRR abs/2207.01791 (2022) - [i16]Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. CoRR abs/2207.11886 (2022) - [i15]Ayantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam:
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI. CoRR abs/2211.15527 (2022) - 2021
- [j6]Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam:
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. 91: 101942 (2021) - [c28]Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam:
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram. ICCVW 2021: 3386-3394 - [c27]Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images. ISBI 2021: 579-583 - [c26]JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. MLMI@MICCAI 2021: 327-336 - [i14]Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images. CoRR abs/2102.05450 (2021) - [i13]Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. CoRR abs/2111.05055 (2021) - 2020
- [j5]S. Jeevakala, C. Sreelakshmi, Keerthi Ram, Rajeswaram Rangasami, Mohanasankar Sivaprakasam:
Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1859-1867 (2020) - [j4]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:
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. Nat. Mach. Intell. 2(10): 585-594 (2020) - [c25]Sriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam:
MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss. EMBC 2020: 1584-1587 - [c24]Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
Dual-Encoder-Unet For Fast Mri Reconstruction. ISBI Workshops 2020: 1-4 - [c23]Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. ISBI 2020: 1069-1073 - [c22]Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI 2020: 1949-1953 - [c21]Poojitha Uthappa P, Keerthi Ram, P. M. Nabeel, Raj Kiran V., Jayaraj Joseph, Mohanasankar Sivaprakasam:
Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods. MeMeA 2020: 1-6 - [c20]JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. MLMIR@MICCAI 2020: 102-110 - [c19]Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. MIDL 2020: 515-526 - [c18]Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. MIDL 2020: 696-708 - [i12]Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A context based deep learning approach for unbalanced medical image segmentation. CoRR abs/2001.02387 (2020) - [i11]Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction. CoRR abs/2001.02397 (2020) - [i10]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:
Detection and skeletonization of single neurons and tracer injections using topological methods. CoRR abs/2004.02755 (2020) - [i9]Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. CoRR abs/2004.05319 (2020) - [i8]Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks. CoRR abs/2007.07502 (2020)
2010 – 2019
- 2019
- [j3]Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1417-1426 (2019) - [c17]Gayatri Kompella, Maria Antico, Fumio Sasazawa, S. Jeevakala, Keerthi Ram, Davide Fontanarosa, Ajay K. Pandey, Mohanasankar Sivaprakasam:
Segmentation of Femoral Cartilage from Knee Ultrasound Images Using Mask R-CNN. EMBC 2019: 966-969 - [c16]Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. EMBC 2019: 5556-5559 - [c15]J. M. Poomeshwaran, Kumar S. Santhosh, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Polyp Segmentation using Generative Adversarial Network. EMBC 2019: 7201-7204 - [c14]Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. EMBC 2019: 7223-7226 - [c13]Sheila John, Sangeetha Srinivasan, Rajiv Raman, Keerthi Ram, Mohanasankar Sivaprakasam:
Validation of a Customized Algorithm for the Detection of Diabetic Retinopathy from Single-Field Fundus Photographs in a Tertiary Eye Care Hospital. MedInfo 2019: 1504-1505 - [c12]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. MeMeA 2019: 1-6 - [c11]Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam, Anand Vinekar:
Early detection of retinopathy of prematurity stage using deep learning approach. Medical Imaging: Computer-Aided Diagnosis 2019: 109502Z - [c10]Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. MLMIR@MICCAI 2019: 3-15 - [c9]Supriti Mulay, G. Deepika, S. Jeevakala, Keerthi Ram, Mohanasankar Sivaprakasam:
Liver Segmentation from Multimodal Images Using HED-Mask R-CNN. MMMI@MICCAI 2019: 68-75 - [c8]Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. MLMI@MICCAI 2019: 292-300 - [c7]Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep detection and classification of mitotic figures. Medical Imaging: Digital Pathology 2019: 109560T - [i7]Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
Joint shape learning and segmentation for medical images using a minimalistic deep network. CoRR abs/1901.08824 (2019) - [i6]Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation. CoRR abs/1902.01040 (2019) - [i5]Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. CoRR abs/1902.04099 (2019) - [i4]Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR abs/1902.04236 (2019) - [i3]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. CoRR abs/1903.12536 (2019) - [i2]Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. CoRR abs/1908.05311 (2019) - [i1]Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction. CoRR abs/1908.09262 (2019) - 2018
- [c6]Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam:
ECGNet: Deep Network for Arrhythmia Classification. MeMeA 2018: 1-6 - [c5]Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam:
A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. COMPAY/OMIA@MICCAI 2018: 336-343 - 2017
- [j2]Garima Gupta, S. Kulasekaran, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images. Comput. Medical Imaging Graph. 55: 124-132 (2017) - [c4]Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam:
Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks. FIFI/OMIA@MICCAI 2017: 168-176 - 2015
- [c3]Vaanathi Sundaresan, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Computer-assisted grading of diabetic macular edema on retinal color fundus images. EMBC 2015: 4330-4333 - [c2]Garima Gupta, Selvaraj Kulasekaran, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Computer-assisted identification of proliferative diabetic retinopathy in color retinal images. EMBC 2015: 5642-5645 - 2011
- [j1]Keerthi Ram, Gopal Datt Joshi, Jayanthi Sivaswamy:
A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy. IEEE Trans. Biomed. Eng. 58(3): 664-673 (2011)
2000 – 2009
- 2009
- [c1]Keerthi Ram, Yogesh Babu Bathina, Jayanthi Sivaswamy:
Curvature orientation histograms for detection and matching of vascular landmarks in retinal images. Medical Imaging: Image Processing 2009: 72591J
Coauthor Index
[j10] [c44] [c43] [c42] [c41] [i28] [i27] [i26] [j9] [j8] [j7] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c31] [c30] [c29] [i18] [i17] [i16] [i15] [j6] [c28] [c27] [c26] [i14] [i13] [j5] [j4] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i12] [i11] [i9] [i8] [j3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [c6] [c5] [j2] [c4] [c3] [c2]
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