Jeny Rajan

According to our database, Jeny Rajan authored at least 70 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation.

Rajath C. Aralikatti, S. J. Pawan, Jeny Rajan

IEEE Trans. Artif. Intell., February, 2024

Forecasting Land-Use and Land-Cover Change Using Hybrid CNN-LSTM Model.

Bhavesh Varma, Naik Nitesh Navnath, K. Chandrasekaran, M. Venkatesan, Jeny Rajan

IEEE Geosci. Remote. Sens. Lett., 2024

A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection.

A. S. Neethi, Santhosh Kumar Kannath, Adarsh Anil Kumar, Jimson Mathew, Jeny Rajan

Eng. Appl. Artif. Intell., 2024

An automated deep learning pipeline for detecting user errors in spirometry test.

Siva Bonthada, Sankar Pariserum Perumal, Poornanand Purushottam Naik, Mahesh A. Padukudru, Jeny Rajan

Biomed. Signal Process. Control., 2024

Multilevel Multimodal Framework for Automatic Collateral Scoring in Brain Stroke.

Rishi Raj, Dayananda Pruthviraja, Ayush Gupta, Jimson Mathew, Santhosh Kumar Kannath, Adity Prakash, Jeny Rajan

IEEE Access, 2024

2023

Machine learning techniques for periodontitis and dental caries detection: A narrative review.

R. C. Radha, B. S. Raghavendra, B. V. Subhash, Jeny Rajan, A. V. Narasimhadhan

Int. J. Medical Informatics, October, 2023

WideCaps: a wide attention-based capsule network for image classification.

S. J. Pawan, Rishi Sharma, Hemanth Sai Ram Reddy, M. Vani, Jeny Rajan

Mach. Vis. Appl., July, 2023

A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.

Tojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan

Eng. Appl. Artif. Intell., April, 2023

StrokeViT with AutoML for brain stroke classification.

Rishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan

Eng. Appl. Artif. Intell., March, 2023

Attention-effective multiple instance learning on weakly stem cell colony segmentation.

Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita

Intell. Syst. Appl., 2023

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

Mohammad Rahil, B. N. Anoop, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan

IEEE Access, 2023

Attention-Based CRNN Models for Identification of Respiratory Diseases from Lung Sounds.

Sanjana J, Poornanand Purushottam Naik, Mahesh A. Padukudru, Shashidhar G. Koolagudi, Jeny Rajan

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.

Govind Jeevan, Geevar C. Zacharias, Madhu S. Nair, Jeny Rajan

Pattern Recognit., 2022

Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.

Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan

Int. J. Imaging Syst. Technol., 2022

Capsule networks for image classification: A review.

S. J. Pawan, Jeny Rajan

Neurocomputing, 2022

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

S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan

Neurocomputing, 2022

Crossover based technique for data augmentation.

Rishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan

Comput. Methods Programs Biomed., 2022

Stroke classification from computed tomography scans using 3D convolutional neural network.

A. S. Neethi, S. Niyas, Santhosh Kumar Kannath, Jimson Mathew, Ajimi Mol Anzar, Jeny Rajan

Biomed. Signal Process. Control., 2022

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.

Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan

Biomed. Signal Process. Control., 2022

An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network.

Dheeraj Kumar Srivastava, S. J. Pawan, Jeny Rajan

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.

Govind Jeevan, S. J. Pawan, Jeny Rajan

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.

S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan

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.

Edwin Thomas, Pawan S. Jogi, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

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.

Pawan S. Jogi, Rahul Sankar, Anubhav Jain, Mahir Jain, D. V. Darshan, B. N. Anoop, Abhishek R. Kothari, M. Venkatesan, Jeny Rajan

Medical Biol. Eng. Comput., 2021

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

S. J. Pawan, Rahul Sankar, Amithash M. Prabhudev, P. A. Mahesh, K. Prakashini, Sudha Kiran Das, Jeny Rajan

CoRR, 2021

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

S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan

CoRR, 2021

Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks.

S. Niyas, S. Chethana Vaisali, Iwrin Show, T. G. Chandrika, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

Biomed. Signal Process. Control., 2021

A cascaded convolutional neural network architecture for despeckling OCT images.

B. N. Anoop, Kaushik S. Kalmady, Akhil Udathu, V. Siddharth, G. N. Girish, Abhishek R. Kothari, Jeny Rajan

Biomed. Signal Process. Control., 2021

Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images.

B. N. Anoop, Saswat Parida, B. Ajith, G. N. Girish, Abhishek R. Kothari, Muthu Subash Kavitha, Jeny Rajan

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

2020

An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan

Pattern Recognit. Lett., 2020

Marker controlled watershed transform for intra-retinal cysts segmentation from optical coherence tomography B-scans.

G. N. Girish, Abhishek R. Kothari, Jeny Rajan

Pattern Recognit. Lett., 2020

2019

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

G. N. Girish, Bibhash Thakur, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan

IEEE J. Biomed. Health Informatics, 2019

Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach.

Chetan L. Srinidhi, P. Aparna, Jeny Rajan

IEEE Trans. Image Process., 2019

Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network.

K. M. Bijay Dev, Pawan S. Jogi, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

Biomed. Signal Process. Control., 2019

Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans.

T. J. Narendra Rao, G. N. Girish, Abhishek R. Kothari, Jeny Rajan

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.

G. N. Girish, Banoth Saikumar, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan

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.

P. Krishna Kumar, Tadashi Araki, Jeny Rajan, John R. Laird, Andrew Nicolaides, Jasjit S. Suri

Comput. Methods Programs Biomed., 2018

A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans.

G. N. Girish, V. A. Anima, Abhishek R. Kothari, P. V. Sudeep, Sohini Roychowdhury, Jeny Rajan

Comput. Methods Programs Biomed., 2018

A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images.

Chetan L. Srinidhi, P. Aparna, Jeny Rajan

Biomed. Signal Process. Control., 2018

Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique.

Y. Nagaraj, Pardhu Madipalli, Jeny Rajan, P. Krishna Kumar, Adapa Venkata Narasimhadhan

Biomed. Signal Process. Control., 2018

Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure.

Wadageri Yamanappa, P. V. Sudeep, M. K. Sabu, Jeny Rajan

IEEE Access, 2018

Reconstruction of Edges from Fan-Beam Projections.

A. V. Narasimhadhan, Aman Sharma, Shashidhar G. Koolagudi, G. V. S. S. K. R. Naganjaneyulu, Sure Avinash, Vinay Peddireddy, N. Bal Kishan, Jeny Rajan

Proceedings of the TENCON 2018, 2018

Retinal-Layer Segmentation Using Dilated Convolutions.

T. Guru Pradeep Reddy, Kandiraju Sai Ashritha, T. M. Prajwala, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan

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.

Sandeep N. Menon, V. B. Vineeth Reddy, A. Yeshwanth, B. N. Anoop, Jeny Rajan

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.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold J. den Dekker, Jeny Rajan

Signal Image Video Process., 2017

Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.

P. Krishna Kumar, Tadashi Araki, Jeny Rajan, Luca Saba, Francesco Lavra, Nobutaka Ikeda, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Ajay Gupta, Jasjit S. Suri

Medical Biol. Eng. Comput., 2017

GPU implementation of non-local maximum likelihood estimation method for denoising magnetic resonance images.

Adithya H. K. Upadhya, Basavaraj Talawar, Jeny Rajan

J. Real Time Image Process., 2017

Recent Advancements in Retinal Vessel Segmentation.

Chetan L. Srinidhi, P. Aparna, Jeny Rajan

J. Medical Syst., 2017

Guided SAR image despeckling with probabilistic non local weights.

Jithin Gokul, Madhu S. Nair, Jeny Rajan

Comput. Geosci., 2017

2016

A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images.

Rani Oomman Panicker, Biju Soman, Gagan Saini, Jeny Rajan

J. Medical Syst., 2016

Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

Tadashi Araki, P. Krishna Kumar, Harman S. Suri, Nobutaka Ikeda, Ajay Gupta, Luca Saba, Jeny Rajan, Francesco Lavra, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Jasjit S. Suri

J. Medical Syst., 2016

Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering.

P. V. Sudeep, S. Issac Niwas, Palanisamy Ponnusamy, Jeny Rajan, Yu Xiaojun, Xianghong Wang, Yuemei Luo, Linbo Liu

Comput. Biol. Medicine, 2016

Speckle reduction in medical ultrasound images using an unbiased non-local means method.

P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S. Suri

Biomed. Signal Process. Control., 2016

Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform.

G. N. Girish, Abhishek R. Kothari, Jeny Rajan

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.

T. J. Narendra Rao, G. N. Girish, Jeny Rajan

Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015

Iterative bilateral filter for Rician noise reduction in MR images.

R. Riji, Jeny Rajan, Jan Sijbers, Madhu S. Nair

Signal Image Video Process., 2015

Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework.

P. Krishna Kumar, P. Darshan, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S. Suri

Int. J. Imaging Syst. Technol., 2015

Nonlocal linear minimum mean square error methods for denoising MRI.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan

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.

Jeny Rajan, Arnold J. den Dekker, Jan Sijbers

Signal Process., 2014

2013

A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images.

Jeny Rajan, Arnold J. den Dekker, Jaber Juntu, Jan Sijbers

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

A Hybrid Model for Rician Noise Reduction in MRI.

P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan

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.

Jeny Rajan, Johan Van Audekerke, Annemie van der Linden, Marleen Verhoye, Jan Sijbers

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.

Jeny Rajan, Marleen Verhoye, Jan Sijbers

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Robust edge-directed interpolation of magnetic resonance images.

Zhenhua Mai, Jeny Rajan, Marleen Verhoye, Jan Sijbers

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

Segmentation Based Noise Variance Estimation from Background MRI Data.

Jeny Rajan, Dirk H. J. Poot, Jaber Juntu, Jan Sijbers

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009

Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.

Jeny Rajan, K. Kannan, Chandrasekharan Kesavadas, Bejoy Thomas

Comput. Medical Imaging Graph., 2009

Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion.

Jeny Rajan, Ben Jeurissen, Jan Sijbers, K. Kannan

Proceedings of the 13th International Machine Vision and Image Processing Conference, 2009

Smoothening and Sharpening Effects of Theta in Complex Diffusion for Image Processing.

Jeny Rajan, K. Kannan, M. R. Kaimal

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008

An Improved Hybrid Model for Molecular Image Denoising.

Jeny Rajan, K. Kannan, M. R. Kaimal

J. Math. Imaging Vis., 2008

2006

Speckle Reduction in Images with WEAD and WECD.

Jeny Rajan, M. R. Kaimal

Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006