Jeny Rajan

Orcid: 0000-0001-8045-6005

According to our database1, Jeny Rajan authored at least 66 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation.
IEEE Trans. Artif. Intell., February, 2024

Multilevel Multimodal Framework for Automatic Collateral Scoring in Brain Stroke.
IEEE Access, 2024

2023
Machine learning techniques for periodontitis and dental caries detection: A narrative review.
Int. J. Medical Informatics, October, 2023

WideCaps: a wide attention-based capsule network for image classification.
Mach. Vis. Appl., July, 2023

A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.
Eng. Appl. Artif. Intell., April, 2023

StrokeViT with AutoML for brain stroke classification.
Eng. Appl. Artif. Intell., March, 2023

Attention-effective multiple instance learning on weakly stem cell colony segmentation.
Intell. Syst. Appl., 2023

A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images.
IEEE Access, 2023

Attention-Based CRNN Models for Identification of Respiratory Diseases from Lung Sounds.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
An empirical study of the impact of masks on face recognition.
Pattern Recognit., 2022

Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.
Int. J. Imaging Syst. Technol., 2022

Capsule networks for image classification: A review.
Neurocomputing, 2022

Medical image segmentation with 3D convolutional neural networks: A survey.
Neurocomputing, 2022

Crossover based technique for data augmentation.
Comput. Methods Programs Biomed., 2022

Stroke classification from computed tomography scans using 3D convolutional neural network.
Biomed. Signal Process. Control., 2022

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.
Biomed. Signal Process. Control., 2022

An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
Proceedings of the Computer Vision and Machine Intelligence, 2022

2021
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images.
IEEE J. Biomed. Health Informatics, 2021

Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy.
Medical Biol. Eng. Comput., 2021

MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images.
CoRR, 2021

Medical Image Segmentation using 3D Convolutional Neural Networks: A Review.
CoRR, 2021

Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks.
Biomed. Signal Process. Control., 2021

A cascaded convolutional neural network architecture for despeckling OCT images.
Biomed. Signal Process. Control., 2021

2020
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels.
Pattern Recognit. Lett., 2020

Marker controlled watershed transform for intra-retinal cysts segmentation from optical coherence tomography B-scans.
Pattern Recognit. Lett., 2020

2019
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
IEEE J. Biomed. Health Informatics, 2019

Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach.
IEEE Trans. Image Process., 2019

Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network.
Biomed. Signal Process. Control., 2019

Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound.
Comput. Methods Programs Biomed., 2018

A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans.
Comput. Methods Programs Biomed., 2018

A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images.
Biomed. Signal Process. Control., 2018

Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique.
Biomed. Signal Process. Control., 2018

Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure.
IEEE Access, 2018

Reconstruction of Edges from Fan-Beam Projections.
Proceedings of the TENCON 2018, 2018

Retinal-Layer Segmentation Using Dilated Convolutions.
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

A Novel Deep Learning Approach for the Removal of Speckle Noise from Optical Coherence Tomography Images Using Gated Convolution-Deconvolution Structure.
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

2017
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps.
Signal Image Video Process., 2017

Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.
Medical Biol. Eng. Comput., 2017

GPU implementation of non-local maximum likelihood estimation method for denoising magnetic resonance images.
J. Real Time Image Process., 2017

Recent Advancements in Retinal Vessel Segmentation.
J. Medical Syst., 2017

Guided SAR image despeckling with probabilistic non local weights.
Comput. Geosci., 2017

2016
A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images.
J. Medical Syst., 2016

Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.
J. Medical Syst., 2016

Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering.
Comput. Biol. Medicine, 2016

Speckle reduction in medical ultrasound images using an unbiased non-local means method.
Biomed. Signal Process. Control., 2016

Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Surveillance Application.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015
Iterative bilateral filter for Rician noise reduction in MR images.
Signal Image Video Process., 2015

Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework.
Int. J. Imaging Syst. Technol., 2015

Nonlocal linear minimum mean square error methods for denoising MRI.
Biomed. Signal Process. Control., 2015

2014
A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov test.
Signal Process., 2014

2013
A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

A Hybrid Model for Rician Noise Reduction in MRI.
Proceedings of the 2013 2nd International Conference on Advanced Computing, 2013

2012
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Robust edge-directed interpolation of magnetic resonance images.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Segmentation Based Noise Variance Estimation from Background MRI Data.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009
Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.
Comput. Medical Imaging Graph., 2009

Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion.
Proceedings of the 13th International Machine Vision and Image Processing Conference, 2009

Smoothening and Sharpening Effects of Theta in Complex Diffusion for Image Processing.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008
An Improved Hybrid Model for Molecular Image Denoising.
J. Math. Imaging Vis., 2008

2006
Speckle Reduction in Images with WEAD and WECD.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006


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