Speckle Reduction in Images with WEAD and WECD. - Jeny Rajan; M. R. Kaimal (ICVGIP, 2006)

An Improved Hybrid Model for Molecular Image Denoising. - Jeny Rajan; K. Kannan; M. R. Kaimal (J. Math. Imaging Vis., 2008)

Smoothening and Sharpening Effects of Theta in Complex Diffusion for Image Processing. - Jeny Rajan; K. Kannan; M. R. Kaimal (ICAPR, 2009)

Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion. - Jeny Rajan; Ben Jeurissen; Jan Sijbers; K. Kannan (IMVIP, 2009)

Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach. - Jeny Rajan; K. Kannan; Chandrasekharan Kesavadas; Bejoy Thomas (Comput. Medical Imaging Graph., 2009)

Segmentation Based Noise Variance Estimation from Background MRI Data. - Jeny Rajan; Dirk H. J. Poot; Jaber Juntu; Jan Sijbers (ICIAR (1), 2010)

Robust edge-directed interpolation of magnetic resonance images. - Zhenhua Mai; Jeny Rajan; Marleen Verhoye; Jan Sijbers (BMEI, 2011)

A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood. - Jeny Rajan; Marleen Verhoye; Jan Sijbers (Image Processing, 2011)

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 (ISBI, 2012)

A Hybrid Model for Rician Noise Reduction in MRI. - P. V. Sudeep; Palanisamy Ponnusamy; Jeny Rajan (ADCONS, 2013)

A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images. - Jeny Rajan; Arnold J. den Dekker; Jaber Juntu; Jan Sijbers (PReMI, 2013)

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)

Nonlocal linear minimum mean square error methods for denoising MRI. - P. V. Sudeep; Palanisamy Ponnusamy; Chandrasekharan Kesavadas; Jeny Rajan (Biomed. Signal Process. Control., 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)

Iterative bilateral filter for Rician noise reduction in MR images. - R. Riji; Jeny Rajan; Jan Sijbers; Madhu S. Nair (Signal Image Video Process., 2015)

An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Surveillance Application. - T. J. Narendra Rao; G. N. Girish; Jeny Rajan (CVIP (1), 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 (EMBC, 2016)

Fourth order PDE based ultrasound despeckling using ENI classification. - R. Soorajkumar; P. Krishna Kumar; D. Girish; Jeny Rajan (SPCOM, 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)

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)

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 001; Shoaib Shafique; Andrew Nicolaides; John R. Laird; et al. (J. Medical Syst., 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)

Guided SAR image despeckling with probabilistic non local weights. - Jithin Gokul; Madhu S. Nair; Jeny Rajan (Comput. Geosci., 2017)

Recent Advancements in Retinal Vessel Segmentation. - Chetan L. Srinidhi; P. Aparna; Jeny Rajan (J. Medical Syst., 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)

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 001; Shoaib Shafique; Andrew Nicolaides; John R. Laird; Ajay Gupta; Jasjit S. Suri (Medical Biol. Eng. Comput., 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)

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 (CVIP (2), 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 (CVIP (1), 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 (TENCON, 2018)

Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure. - Wadageri Yamanappa; P. V. Sudeep; M. K. Sabu; Jeny Rajan (IEEE Access, 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)

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)

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)

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)

Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation. - G. N. Girish; Banoth Saikumar; Sohini Roychowdhury; Abhishek R. Kothari; Jeny Rajan (EMBC, 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 (EMBC, 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)

Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach. - Chetan L. Srinidhi; P. Aparna; Jeny Rajan (IEEE Trans. Image Process., 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)

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)

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)

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 (PReMI, 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)

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)

Medical Image Segmentation using 3D Convolutional Neural Networks: A Review. - S. Niyas; S. J. Pawan; M. Anand Kumar; Jeny Rajan (CoRR, 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)

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 003; Mahir Jain; D. V. Darshan; B. N. Anoop; Abhishek R. Kothari; M. Venkatesan; Jeny Rajan (Medical Biol. Eng. Comput., 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)

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis. - S. Niyas; Shraddha Priya; Reena Oswal; Tojo Mathew; Jyoti R. Kini; Jeny Rajan (CVMI, 2022)

Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation. - Govind Jeevan; S. J. Pawan; Jeny Rajan (MLMI@MICCAI, 2022)

An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network. - Dheeraj Kumar Srivastava; S. J. Pawan; Jeny Rajan (AIIIMA/MIABID@MICCAI, 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)

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)

Crossover based technique for data augmentation. - Rishi Raj; Jimson Mathew; Santhosh Kumar Kannath; Jeny Rajan (Comput. Methods Programs Biomed., 2022)

Medical image segmentation with 3D convolutional neural networks: A survey. - S. Niyas; S. J. Pawan; M. Anand Kumar; Jeny Rajan (Neurocomputing, 2022)

Capsule networks for image classification: A review. - S. J. Pawan; Jeny Rajan (Neurocomputing, 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)

An empirical study of the impact of masks on face recognition. - Govind Jeevan; Geevar C. Zacharias; Madhu S. Nair; Jeny Rajan (Pattern Recognit., 2022)

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 (ICCCNT, 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-effective multiple instance learning on weakly stem cell colony segmentation. - Novanto Yudistira; Muthu Subash Kavitha; Jeny Rajan; Takio Kurita (Intell. Syst. Appl., 2023)

StrokeViT with AutoML for brain stroke classification. - Rishi Raj; Jimson Mathew; Santhosh Kumar Kannath; Jeny Rajan (Eng. Appl. Artif. Intell., 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., 2023)

WideCaps: a wide attention-based capsule network for image classification. - S. J. Pawan; Rishi Sharma 003; Hemanth Sai Ram Reddy; M. Vani; Jeny Rajan (Mach. Vis. Appl., 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, 2023)

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)

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)

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)

Forecasting Land-Use and Land-Cover Change Using Hybrid CNN-LSTM Model. - Bhavesh Varma; Naik Nitesh Navnath; K. Chandrasekaran 001; M. Venkatesan; Jeny Rajan (IEEE Geosci. Remote. Sens. Lett., 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., 2024)