Jeny Rajan

75 papers B 1C 1Misc 1Journal 52Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual encoder-decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions.
Biomed. Signal Process. Control.
S. Niyas, Chandrasekharan Kesavadas, Jeny Rajan
2024 J jnl
A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation.
IEEE Trans. Artif. Intell.
Rajath C. Aralikatti, S. J. Pawan, Jeny Rajan
2024 J jnl
A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection.
Eng. Appl. Artif. Intell.
A. S. Neethi, Santhosh Kumar Kannath, Adarsh Anil Kumar, Jimson Mathew, Jeny Rajan
2024 J jnl
An automated deep learning pipeline for detecting user errors in spirometry test.
Biomed. Signal Process. Control.
Siva Bonthada, Sankar Pariserum Perumal, Poornanand Purushottam Naik, Mahesh A. Padukudru, Jeny Rajan
2024 J jnl
Forecasting Land-Use and Land-Cover Change Using Hybrid CNN-LSTM Model.
IEEE Geosci. Remote. Sens. Lett.
Bhavesh Varma, Naik Nitesh Navnath, K. Chandrasekaran, M. Venkatesan, Jeny Rajan
2024 J jnl
Multilevel Multimodal Framework for Automatic Collateral Scoring in Brain Stroke.
IEEE Access
Rishi Raj, Dayananda Pruthviraja, Ayush Gupta, Jimson Mathew, Santhosh Kumar Kannath, Adity Prakash, Jeny Rajan
2024 — conf
ViTFuser: Advancements in Global Context Understanding for Autonomous Vehicles.
MIND (1)
Atanu Chatterjee, P. Ajay Vikram, Aniketh Narayan Bellala, T. Naga Tarun, Basavaraj Talawar, M. Vani, Jeny Rajan
2023 J jnl
A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images.
IEEE Access
Mohammad Rahil, B. N. Anoop, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan
2023 J jnl
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.
Eng. Appl. Artif. Intell.
Tojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan
2023 — conf
Attention-Based CRNN Models for Identification of Respiratory Diseases from Lung Sounds.
ICCCNT
Sanjana J, Poornanand Purushottam Naik, Mahesh A. Padukudru, Shashidhar G. Koolagudi, Jeny Rajan
2023 J jnl
Attention-effective multiple instance learning on weakly stem cell colony segmentation.
Intell. Syst. Appl.
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
2023 J jnl
Machine learning techniques for periodontitis and dental caries detection: A narrative review.
Int. J. Medical Informatics
R. C. Radha, B. S. Raghavendra, B. V. Subhash, Jeny Rajan, A. V. Narasimhadhan
2023 J jnl
StrokeViT with AutoML for brain stroke classification.
Eng. Appl. Artif. Intell.
Rishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan
2023 J jnl
WideCaps: a wide attention-based capsule network for image classification.
Mach. Vis. Appl.
S. J. Pawan, Rishi Sharma, Hemanth Sai Ram Reddy, M. Vani, Jeny Rajan
2022 J jnl
A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.
Biomed. Signal Process. Control.
Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan
2022 — conf
An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network.
AIIIMA/MIABID@MICCAI
Dheeraj Kumar Srivastava, S. J. Pawan, Jeny Rajan
2022 J jnl
An empirical study of the impact of masks on face recognition.
Pattern Recognit.
Govind Jeevan, Geevar C. Zacharias, Madhu S. Nair, Jeny Rajan
2022 J jnl
Attention-effective multiple instance learning on weakly stem cell colony segmentation.
CoRR
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
2022 — conf
Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
CVMI
S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan
2022 J jnl
Capsule networks for image classification: A review.
Neurocomputing
S. J. Pawan, Jeny Rajan
2022 — conf
Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation.
MLMI@MICCAI
Govind Jeevan, S. J. Pawan, Jeny Rajan
2022 J jnl
Crossover based technique for data augmentation.
Comput. Methods Programs Biomed.
Rishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan
2022 J jnl
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.
Int. J. Imaging Syst. Technol.
Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan
2022 J jnl
Medical image segmentation with 3D convolutional neural networks: A survey.
Neurocomputing
S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan
2022 J jnl
Stroke classification from computed tomography scans using 3D convolutional neural network.
Biomed. Signal Process. Control.
A. S. Neethi, S. Niyas, Santhosh Kumar Kannath, Jimson Mathew, Ajimi Mol Anzar, Jeny Rajan
2021 J jnl
A cascaded convolutional neural network architecture for despeckling OCT images.
Biomed. Signal Process. Control.
B. N. Anoop, Kaushik S. Kalmady, Akhil Udathu, V. Siddharth, G. N. Girish, Abhishek R. Kothari, Jeny Rajan
2021 — conf
Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images.
PReMI
B. N. Anoop, Saswat Parida, B. Ajith, G. N. Girish, Abhishek R. Kothari, Muthu Subash Kavitha, Jeny Rajan
2021 J jnl
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.
Pawan S. Jogi, Rahul Sankar, Anubhav Jain, Mahir Jain, D. V. Darshan, B. N. Anoop, Abhishek R. Kothari, M. Venkatesan, Jeny Rajan
2021 J jnl
Medical Image Segmentation using 3D Convolutional Neural Networks: A Review.
CoRR
S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan
2021 J jnl
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images.
CoRR
S. J. Pawan, Rahul Sankar, Amithash M. Prabhudev, P. A. Mahesh, K. Prakashini, Sudha Kiran Das, Jeny Rajan
2021 J jnl
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images.
IEEE J. Biomed. Health Informatics
Edwin Thomas, Pawan S. Jogi, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
2021 J jnl
Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks.
Biomed. Signal Process. Control.
S. Niyas, S. Chethana Vaisali, Iwrin Show, T. G. Chandrika, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
2021 J jnl
WideCaps: A Wide Attention based Capsule Network for Image Classification.
CoRR
Pawan S. Jogi, Rishi Sharma, Hemanth Sai Ram Reddy, M. Vani, Jeny Rajan
2020 J jnl
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels.
Pattern Recognit. Lett.
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan
2020 J jnl
Marker controlled watershed transform for intra-retinal cysts segmentation from optical coherence tomography B-scans.
Pattern Recognit. Lett.
G. N. Girish, Abhishek R. Kothari, Jeny Rajan
2019 J jnl
Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach.
IEEE Trans. Image Process.
Chetan L. Srinidhi, P. Aparna, Jeny Rajan
2019 J jnl
Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network.
Biomed. Signal Process. Control.
K. M. Bijay Dev, Pawan S. Jogi, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
2019 — conf
Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans.
EMBC
T. J. Narendra Rao, G. N. Girish, Abhishek R. Kothari, Jeny Rajan
2019 — conf
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.
EMBC
G. N. Girish, Banoth Saikumar, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan
2019 J jnl
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
IEEE J. Biomed. Health Informatics
G. N. Girish, Bibhash Thakur, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan
2018 — conf
A Novel Deep Learning Approach for the Removal of Speckle Noise from Optical Coherence Tomography Images Using Gated Convolution-Deconvolution Structure.
CVIP (2)
Sandeep N. Menon, V. B. Vineeth Reddy, A. Yeshwanth, B. N. Anoop, Jeny Rajan
2018 J jnl
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans.
Comput. Methods Programs Biomed.
G. N. Girish, V. A. Anima, Abhishek R. Kothari, P. V. Sudeep, Sohini Roychowdhury, Jeny Rajan
2018 J jnl
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images.
Biomed. Signal Process. Control.
Chetan L. Srinidhi, P. Aparna, Jeny Rajan
2018 J jnl
Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure.
IEEE Access
Wadageri Yamanappa, P. V. Sudeep, M. K. Sabu, Jeny Rajan
2018 C conf
Reconstruction of Edges from Fan-Beam Projections.
TENCON
A. V. Narasimhadhan, Aman Sharma, Shashidhar G. Koolagudi, G. V. S. S. K. R. Naganjaneyulu, Sure Avinash, Vinay Peddireddy, N. Bal Kishan, Jeny Rajan
2018 — conf
Retinal-Layer Segmentation Using Dilated Convolutions.
CVIP (1)
T. Guru Pradeep Reddy, Kandiraju Sai Ashritha, T. M. Prajwala, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan
2018 J jnl
Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique.
Biomed. Signal Process. Control.
Y. Nagaraj, Pardhu Madipalli, Jeny Rajan, P. Krishna Kumar, Adapa Venkata Narasimhadhan
2018 J jnl
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound.
Comput. Methods Programs Biomed.
P. Krishna Kumar, Tadashi Araki, Jeny Rajan, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
2017 J jnl
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps.
Signal Image Video Process.
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold J. den Dekker, Jeny Rajan
2017 J jnl
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.
Medical Biol. Eng. Comput.
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
2017 J jnl
GPU implementation of non-local maximum likelihood estimation method for denoising magnetic resonance images.
J. Real Time Image Process.
Adithya H. K. Upadhya, Basavaraj Talawar, Jeny Rajan
2017 J jnl
Guided SAR image despeckling with probabilistic non local weights.
Comput. Geosci.
Jithin Gokul, Madhu S. Nair, Jeny Rajan
2017 J jnl
Recent Advancements in Retinal Vessel Segmentation.
J. Medical Syst.
Chetan L. Srinidhi, P. Aparna, Jeny Rajan
2016 J jnl
A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images.
J. Medical Syst.
Rani Oomman Panicker, Biju Soman, Gagan Saini, Jeny Rajan
2016 — conf
An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Surveillance Application.
CVIP (1)
T. J. Narendra Rao, G. N. Girish, Jeny Rajan
2016 — conf
Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform.
EMBC
G. N. Girish, Abhishek R. Kothari, Jeny Rajan
2016 J jnl
Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering.
Comput. Biol. Medicine
P. V. Sudeep, S. Issac Niwas, Palanisamy Ponnusamy, Jeny Rajan, Yu Xiaojun, Xianghong Wang, Yuemei Luo, Linbo Liu
2016 — conf
Fourth order PDE based ultrasound despeckling using ENI classification.
SPCOM
R. Soorajkumar, P. Krishna Kumar, D. Girish, Jeny Rajan
2016 J jnl
Speckle reduction in medical ultrasound images using an unbiased non-local means method.
Biomed. Signal Process. Control.
P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S. Suri
2016 J jnl
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.
J. Medical Syst.
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
2015 J jnl
Iterative bilateral filter for Rician noise reduction in MR images.
Signal Image Video Process.
R. Riji, Jeny Rajan, Jan Sijbers, Madhu S. Nair
2015 J jnl
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework.
Int. J. Imaging Syst. Technol.
P. Krishna Kumar, P. Darshan, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S. Suri
2015 J jnl
Nonlocal linear minimum mean square error methods for denoising MRI.
Biomed. Signal Process. Control.
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan
2014 J jnl
A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov test.
Signal Process.
Jeny Rajan, Arnold J. den Dekker, Jan Sijbers
2013 — conf
A Hybrid Model for Rician Noise Reduction in MRI.
ADCONS
P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan
2013 — conf
A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images.
PReMI
Jeny Rajan, Arnold J. den Dekker, Jaber Juntu, Jan Sijbers
2012 — conf
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images.
ISBI
Jeny Rajan, Johan Van Audekerke, Annemie van der Linden, Marleen Verhoye, Jan Sijbers
2011 B conf
A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood.
Image Processing
Jeny Rajan, Marleen Verhoye, Jan Sijbers
2011 — conf
Robust edge-directed interpolation of magnetic resonance images.
BMEI
Zhenhua Mai, Jeny Rajan, Marleen Verhoye, Jan Sijbers
2010 — conf
Segmentation Based Noise Variance Estimation from Background MRI Data.
ICIAR (1)
Jeny Rajan, Dirk H. J. Poot, Jaber Juntu, Jan Sijbers
2009 Misc conf
Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion.
IMVIP
Jeny Rajan, Ben Jeurissen, Jan Sijbers, K. Kannan
2009 J jnl
Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.
Comput. Medical Imaging Graph.
Jeny Rajan, K. Kannan, Chandrasekharan Kesavadas, Bejoy Thomas
2009 — conf
Smoothening and Sharpening Effects of Theta in Complex Diffusion for Image Processing.
ICAPR
Jeny Rajan, K. Kannan, M. R. Kaimal
2008 J jnl
An Improved Hybrid Model for Molecular Image Denoising.
J. Math. Imaging Vis.
Jeny Rajan, K. Kannan, M. R. Kaimal
2006 — conf
Speckle Reduction in Images with WEAD and WECD.
ICVGIP
Jeny Rajan, M. R. Kaimal