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jenyrajan:0

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Publications: 3
Edited: 0

Aliases

Jeny Rajan
Rajan, Jeny
J. Rajan
Rajan, J.
Rajan

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Jeny Rajan's Profile

Publications

Unidentified Publications

Publications with a 'Jeny Rajan' as author, editor, or advisor:

WideCaps: a wide attention-based capsule network for image classificationS. J. Pawan, Rishi Sharma, Hemanth Sai Ram Reddy, M. Vani, Jeny Rajan. mva, 34(4):52, July 2023. [doi]
An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural NetworkDheeraj Kumar Srivastava, S. J. Pawan, Jeny Rajan. miccai 2022: 83-91 [doi]
Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transformG. N. Girish, Abhishek R. Kothari, Jeny Rajan. embc 2016: 1292-1295 [doi]
Attention-effective multiple instance learning on weakly stem cell colony segmentationNovanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita. iswa, 17:200187, 2023. [doi]
Marker controlled watershed transform for intra-retinal cysts segmentation from optical coherence tomography B-scansG. N. Girish, Abhishek R. Kothari, Jeny Rajan. prl, 139:86-94, 2020. [doi]
An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Surveillance ApplicationT. J. Narendra Rao, G. N. Girish, Jeny Rajan. cvip 2017: 133-147 [doi]
A Hybrid Model for Rician Noise Reduction in MRIP. V. Sudeep, P. Palanisamy, Jeny Rajan. adcons 2013: 56-61 [doi]
Capsule networks for image classification: A reviewS. J. Pawan, Jeny Rajan. ijon, 509:102-120, 2022. [doi]
Stroke classification from computed tomography scans using 3D convolutional neural networkA. S. Neethi, S. Niyas, Santhosh Kumar Kannath, Jimson Mathew, Ajimi Mol Anzar, Jeny Rajan. bspc, 76:103720, 2022. [doi]
Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathyPawan S. Jogi, Rahul Sankar, Anubhav Jain, Mahir Jain, D. V. Darshan, B. N. Anoop, Abhishek R. Kothari, M. Venkatesan, Jeny Rajan. mbec, 59(6):1245-1259, 2021. [doi]
Iterative bilateral filter for Rician noise reduction in MR imagesR. Riji, Jeny Rajan, Jan Sijbers, Madhu S. Nair. sivp, 9(7):1543-1548, 2015. [doi]
An empirical study of the impact of masks on face recognitionGovind Jeevan, Geevar C. Zacharias, Madhu S. Nair, Jeny Rajan. PR, 122:108308, 2022. [doi]
Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography ScansT. J. Narendra Rao, G. N. Girish, Abhishek R. Kothari, Jeny Rajan. embc 2019: 978-981 [doi]
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasoundP. Krishna Kumar, Tadashi Araki, Jeny Rajan, John R. Laird, Andrew Nicolaides, Jasjit S. Suri. cmpb, 163:155-168, 2018. [doi]
Guided SAR image despeckling with probabilistic non local weightsJithin Gokul, Madhu S. Nair, Jeny Rajan. gandc, 109:16-24, 2017. [doi]
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-frameworkP. Krishna Kumar, P. Darshan, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S. Suri. imst, 25(3):256-264, 2015. [doi]
A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT ImagesMohammad Rahil, B. N. Anoop, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan. access, 11:17241-17251, 2023. [doi]
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance imagesJeny Rajan, Johan Van Audekerke, Annemie van der Linden, Marleen Verhoye, Jan Sijbers. isbi 2012: 1136-1139 [doi]
Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic ApproachChetan L. Srinidhi, P. Aparna, Jeny Rajan. TIP, 28(6):2705-2718, 2019. [doi]
A cascaded convolutional neural network architecture for despeckling OCT imagesB. N. Anoop, Kaushik S. Kalmady, Akhil Udathu, V. Siddharth, G. N. Girish, Abhishek R. Kothari, Jeny Rajan. bspc, 66:102463, 2021. [doi]
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal imagesChetan L. Srinidhi, P. Aparna, Jeny Rajan. bspc, 44:110-126, 2018. [doi]
StrokeViT with AutoML for brain stroke classificationRishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan. eaai, 119:105772, March 2023. [doi]
Cross Task Temporal Consistency for Semi-supervised Medical Image SegmentationGovind Jeevan, S. J. Pawan, Jeny Rajan. miccai 2022: 140-150 [doi]
A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear ImagesRani Oomman Panicker, Biju Soman, Gagan Saini, Jeny Rajan. jms, 40(1), 2016. [doi]
GPU implementation of non-local maximum likelihood estimation method for denoising magnetic resonance imagesAdithya H. K. Upadhya, Basavaraj Talawar, Jeny Rajan. jrtip, 13(1):181-192, 2017. [doi]
Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural networkK. M. Bijay Dev, Pawan S. Jogi, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan. bspc, 52:218-225, 2019. [doi]
Attention-Based CRNN Models for Identification of Respiratory Diseases from Lung SoundsSanjana J, Poornanand Purushottam Naik, Mahesh A. Padukudru, Shashidhar G. Koolagudi, Jeny Rajan. icccnt 2023: 1-7 [doi]
Retinal-Layer Segmentation Using Dilated ConvolutionsT. Guru Pradeep Reddy, Kandiraju Sai Ashritha, T. M. Prajwala, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan. cvip 2020: 279-292 [doi]
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance ImagesEdwin Thomas, S. J. Pawan, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan. titb, 25(5):1724-1734, 2021. [doi]
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scansG. N. Girish, V. A. Anima, Abhishek R. Kothari, P. V. Sudeep, Sohini Roychowdhury, Jeny Rajan. cmpb, 153:105-114, 2018. [doi]
Crossover based technique for data augmentationRishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan. cmpb, 218:106716, 2022. [doi]
A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance ImagesJeny Rajan, Arnold Jan den Dekker, Jaber Juntu, Jan Sijbers. premi 2013: 451-458 [doi]
A Novel Deep Learning Approach for the Removal of Speckle Noise from Optical Coherence Tomography Images Using Gated Convolution-Deconvolution StructureSandeep N. Menon, V. B. Vineeth Reddy, A. Yeshwanth, B. N. Anoop, Jeny Rajan. cvip 2020: 115-126 [doi]
Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filteringP. V. Sudeep, S. Issac Niwas, P. Palanisamy, Jeny Rajan, Yu Xiaojun, Xianghong Wang, Yuemei Luo, Linbo Liu. cbm, 71:97-107, 2016. [doi]
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levelsP. V. Sudeep, P. Palanisamy, Chandrasekharan Kesavadas, Jeny Rajan. prl, 139:34-41, 2020. [doi]
Robust edge-directed interpolation of magnetic resonance imagesZhenhua Mai, Jeny Rajan, Marleen Verhoye, Jan Sijbers. bmei 2011: 472-476 [doi]
Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network ModelG. N. Girish, Bibhash Thakur, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan. titb, 23(1):296-304, 2019. [doi]
Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networksS. Niyas, S. Chethana Vaisali, Iwrin Show, T. G. Chandrika, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan. bspc, 70:102951, 2021. [doi]
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary ApproachesTadashi 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. jms, 40(7), 2016. [doi]
Speckle reduction in medical ultrasound images using an unbiased non-local means methodP. V. Sudeep, P. Palanisamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S. Suri. bspc, 28:1-8, 2016. [doi]
Segmentation of intima media complex from carotid ultrasound images using wind driven optimization techniqueY. Nagaraj, Pardhu Madipalli, Jeny Rajan, P. Krishna Kumar, Adapa Venkata Narasimhadhan. bspc, 40:462-472, 2018. [doi]
Medical image segmentation with 3D convolutional neural networks: A surveyS. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan. ijon, 493:397-413, 2022. [doi]
Machine learning techniques for periodontitis and dental caries detection: A narrative reviewR. C. Radha, B. S. Raghavendra, B. V. Subhash, Jeny Rajan, A. V. Narasimhadhan. ijmi, 178:105170, October 2023. [doi]
Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst SegmentationG. N. Girish, Banoth Saikumar, Sohini Roychowdhury, Abhishek R. Kothari, Jeny Rajan. embc 2019: 2027-2031 [doi]
Reconstruction of Edges from Fan-Beam ProjectionsA. 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: 1278-1283 [doi]
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinomaTojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan. eaai, 120:105949, April 2023. [doi]
Multilevel Multimodal Framework for Automatic Collateral Scoring in Brain StrokeRishi Raj, Dayananda Pruthviraja, Ayush Gupta, Jimson Mathew, Santhosh Kumar Kannath, Adity Prakash, Jeny Rajan. access, 12:33730-33748, 2024. [doi]
Denoising Magnetic Resonance Images Using Fourth Order Complex DiffusionJeny Rajan, Ben Jeurissen, Jan Sijbers, K. Kannan. imvip 2009: 123-127 [doi]
Non-Local Means Image Denoising Using Shapiro-Wilk Similarity MeasureWadageri Yamanappa, P. V. Sudeep, M. K. Sabu, Jeny Rajan. access, 6:66914-66922, 2018. [doi]
Deep learning-based automated mitosis detection in histopathology images for breast cancer gradingTojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan. imst, 32(4):1192-1208, 2022. [doi]
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase mapsP. V. Sudeep, P. Palanisamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold Jan den Dekker, Jeny Rajan. sivp, 11(5):913-920, 2017. [doi]
A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov testJeny Rajan, Arnold Jan den Dekker, Jan Sijbers. sigpro, 103:16-23, 2014. [doi]
Forecasting Land-Use and Land-Cover Change Using Hybrid CNN-LSTM ModelBhavesh Varma, Naik Nitesh Navnath, K. Chandrasekaran 0001, M. Venkatesan, Jeny Rajan. lgrs, 21:1-5, 2024. [doi]
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approachP. 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. mbec, 55(8):1415-1434, 2017. [doi]
Recent Advancements in Retinal Vessel SegmentationChetan L. Srinidhi, P. Aparna, Jeny Rajan. jms, 41(4), 2017. [doi]
Nonlocal linear minimum mean square error methods for denoising MRIP. V. Sudeep, P. Palanisamy, Chandrasekharan Kesavadas, Jeny Rajan. bspc, 20:125-134, 2015. [doi]
A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysisTojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan. bspc, 76:103657, 2022. [doi]
A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhoodJeny Rajan, Marleen Verhoye, Jan Sijbers. miip 2011: [doi]
A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image SegmentationRajath C. Aralikatti, S. J. Pawan, Jeny Rajan. tai, 5(2):556-565, February 2024. [doi]
Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image AnalysisS. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan. cvmi 2023: 23-35 [doi]
Cryptanalysis of an Efficient Passwortd Authentication SchemePrasanth Kumar Thandra, J. Rajan, S. A. V. Satya Murty. ijnsec, 18(2):362-368, 2016. [doi]
Automated fabric inspection through convolutional neural network: an approachRashmi Thakur, Deepak Panghal, Prabir Jana, Rajan, Ankit Prasad. nca, 35(5):3805-3823, February 2023. [doi]

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