Publications

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Journals [58]

58. R C Radha, B S Raghavendra, B V Subhash, Jeny Rajan, A V Narasimhadhan, Machine learning techniques for periodontitis and dental caries detection: A Narrative Review, International Journal of Medical Informatics (In Press), 2023.

57. Rajath C Aralikatti, S J Pawan, Jeny Rajan, A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation, IEEE Trans. on Artificial Intelligence (In Press), 2023.

56. S J Pawan, Rishi Sharma, J Hemanth Sai Ram Reddy, Vani M, Jeny Rajan, WideCaps: A Wide Attention based Capsule Network for Image Classification, Machine Vision and Applications, Vol 34 (4), pp: 1: 14, 2023

55. M. Rahil, B. N Anoop, G N Girish, Abhishek R Kothari, Shashidhar G   Koolagudi and Jeny Rajan, A Deep Ensemble Learning-based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images, IEEE Access, Vol 11, pp: 17241-17251, 2023

54. Tojo Mathew, CI Johnpaul, Ajith B, Jyoti R Kini, Jeny Rajan, A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma, Engineering Applications of Artificial Intelligence, Vol 120, pp: 1-14 (105949), 2023

53. S Niyas, Ramya Bygari, Rachita Naik, Bhavishya Viswanath, Dhananjay Ugwekar, Tojo Mathew, J Kavya, Jyoti R Kini, Jeny Rajan, Automated Molecular Subtyping of Breast Carcinoma using Deep Learning Techniques, IEEE Journal of Translational Engineering in Health and Medicine, Vol. 11, pp :161-169, 2023. 

52. Rishi Raj, Jimson Mathew, Santhosh Kumar Kannath, Jeny Rajan, StrokeViT with AutoML for brain stroke classification, Engineering Applications of Artificial Intelligence, Vol 119, pp: 1-16, 2023, 2023 

51. N. Yudistira, M. S. Kavitha, Jeny Rajan, T. Kurita, Attention-effective multiple instance learning on weakly stem cell colony segmentation, Intelligent Systems with Applications, Vol. 17, 2023

50. S J Pawan, Govind Jeevan, Jeny Rajan, Semi-Supervised Temporal Mixup Coherence for Medical Image Segmentation, Biocybernetics and Biomedical Engineering ,  Vol. 42, pp: 1149-1161, 2022.

49. S. J Pawan, Jeny Rajan, Capsule Networks for image classification : A Review, Neurocomputing, Vol. 14, pp:102-120, 2022 

48. A S Neethi, S Niyas, Santhosh Kannath, Jimson Mathew, Ajimi Mol Anzar and Jeny Rajan, Stroke Classification from Computed Tomography Scans using 3D Convolutional Neural Network, Biomedical Signal Processing and Control, Vol. 76, pp:103720, July 2022.  

47. S. Niyas, S J Pawan, M Anand Kumar, Jeny Rajan, Medical Image Segmentation with 3D Convolutional Neural Networks : A Survey, Neurocomputing , Vol. 493,pp:397:413, 2022 

46. Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan, A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis, Biomedical Signal Processing and Control Vol. 76, pp:103657, 2022 

45. Rishi Raj, Jimson Mathew, Santhosh Kumar K, Jeny Rajan, Crossover based technique for data augmentation, Computer Methods and Programs in Biomedicine, Vol. 218, pp: 106716, 2022.

44. Tojo Mathew, Ajith Bhaskaran, Jyoti Kini and Jeny Rajan, Deep Learning based Automated Mitosis Detection in Histopathology Images for Breast Cancer Grading, International Journal of Imaging Systems and Technology (In Press), 2022.  

43. Govind Jeevan, Geevar C. Zacharias, Madhu S. Nair and Jeny Rajan, An Empirical Study of the Impact of Masks on Face Recognition, Pattern Recognition, 2021, Vol 122, pp: 108308, 2022 

42.  S Niyas, S Chethana Vaisali, Iwrin Show, T G Chandrika, S Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan, 3D Residual U-Net: A Voxel-based FCD Segmentation using Shallow Sliced Stacking, Biomedical Signal Processing and Control, Vol 70, pp (102951) 1 : 11, 2021

41. S J Pawan, Rahul Sankar, Anubhav Jain, Mahir Jain, D V Darshan, B.N Anoop, Abhishek R. Kothari, M.Venkatesan and Jeny Rajan, Capsule Network based Architectures for the Segmentation of Sub-Retinal Serous Fluid in OCT Images of Central Serous Chorioretinopathy, Medical & Biological Engineering & Computing, Vol 59, pp: 1245–1259, 2021.

40. B N Anoop, Kaushik S Kalmady, Akhil Udathu, Siddharth V, Girish G N, Abhishek R Kothari, Jeny Rajan, A Cascaded Convolutional Neural Network Architecture for Despeckling OCT images, Biomedical Signal Processing and Control, Vol 66, pp : 1 – 14, 2021. 

39. Tojo Mathew, Jyothi Kini, Jeny Rajan, Computational Methods for Automated Mitosis Detection in Histopathology Images: A Review, Biocybernetics and Biomedical Engineering, Vol. 41, Issue 1, pp : 64 – 82. 

38. Edwin Thomas, Pawan S. J, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas and Jeny Rajan, Multi-Res-Attention UNet : A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images, IEEE Journal of Biomedical and Health Informatics, Vol. 25 (5), pp : 1724 – 1734, 2021. 

37. B N Anoop, Rakesh Pavan, G N Girish, Abhishek Kothari and Jeny Rajan, Stack Generalized Deep Ensemble Learning for Retinal Layer Segmentation in Optical Coherence Tomography Images, Biocybernetics and Biomedical Engineering, Vol. 40, Issue 4, pp: 1343 : 1358, 2020 [link]

36. K M Bijay Dev, Pawan S. Jogi, S. Niyas, S Vinayagamani, Chandrasekharan Kesavadas and Jeny Rajan, Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network,  Biomedical Signal Processing and Control, Vol. 52, pp: 218 – 225, July 2019. [link]

35. Chetan L Srinidhi, Aparna P and Jeny Rajan, Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach, IEEE Transactions on Image Processing, Vol. 28, No. 6, June 2019.     

34. Yamanappa, P V Sudeep, M. K. Sabu, Jeny Rajan, Non-local Means Image Denoising using Shapiro-Wilk Statistical Similarity Measure, IEEE Access, Vol. 6,pp:66914-66922, 2018.

32. Rani Oomman Panicker, Kaushik S Kalmady, Jeny Rajan, Sabu M K, "Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images using Deep Learning Methods", Biocybernetics and Biomedical Engineering, Vol 38,pp 691:699, 2018. 

32. P Krishna Kumar , Tadashi Araki , Jeny Rajan , John R Laird ,Andrew Nicolaides , Jasjit S. Suri , State-of-the-Art Review on Automated Lumen andAdventitial Border Delineation and its Measurements in Carotid Ultrasound, Computer Methods and Programs in Biomedicine, Vol. 163, pp: 155-158,  Sept. 2018 .

31. Chetan L Srinidhi, Aparna P, Jeny Rajan, A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images, Biomedical Signal Processing and Control, Vol. 44, pp: 110-126, July 2018. 

30. G N Girish, Bibhash Thakur, Sohini Roy Chowdhury, Abhishek R Kothari, Jeny Rajan, Segmentation of Intra-Retinal Cysts from Optical Coherence Tomography Images using a Fully Convolutional Neural Network Model, IEEE Journal of Biomedical and Health Informatics, Vol 23(1), pp: 296 - 304, 2019. [link]

29. PV Sudeep, P Palanisamy, Chandrasekharan Kesavadas, Jeny Rajan, An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels, Pattern Recognition Letters, Vol 139, pp: 34-41, 2020. [link]

28. GN Girish, VA Anima, Abhishek R Kothari, PV Sudeep, Sohini Roychowdhury, Jeny Rajan, A Benchmark Study of Automated Intra-retinal Cyst Segmentation Algorithms using Optical Coherence Tomography B-Scans, Computer Methods and Programs in Biomedicine, Vol 153, pp:105-114, 2018. [link]  

27. Girish G.N, Abhishek R Kothari, Jeny Rajan, " Marker Controlled Watershed Transform for Intra-Retinal Cysts Segmentation from Optical Coherence Tomography B-Scans", Pattern Recognition Letters, Vol 139, pp: 86-94, 2020. [link]

26. Nagaraj Y, Pardhu Madipalli, Jeny Rajan, P Krishna Kumar, A V Narasimhadhan, Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique, Biomedical Signal Processing and Control, Vol. 40, pp: 462-472,2018. [link] 

25. Jithin Gokul, Madhu S. Nair, Jeny Rajan, "Guided SAR Image Despeckling with Probabilistic Non Local Weights", Computers and Geosciences, Vol 109, pp: 16-24, Dec. 2017. [link]

24. Chetan L Srinidhi, Aparna P, Jeny Rajan, "Recent advancements in retinal vessel segmentation", Journal of Medical Systems, pp : 41:70, April 2017. [link]

23. Sujin Surendran S, Jeny Rajan, Madhu S Nair, “Rotation Invariant and Two-Level Filtering Approaches for Accelerating the Non-Local Maximum Likelihood Estimation for Rician Noise Reduction in MR Images”, CSI Transactions on ICT, pp 1:11, 2017. [link]

22. Sudeep P.V, Palanisamy P, C. Kesavadas, Jan Sijbers, Arjan den Dekker, Jeny Rajan, “A Nonlocal Maximum Likelihood Estimation Method for Enhancing Magnetic Resonance Phase Maps”, Signal Image and Video Processing, pp 1:8 2016. [link]

21. Krishna Kumar P, Luca Saba, Tadashi Araki, Jeny Rajan, Francesco Lavra, Nobutaka Ikeda, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John L Laird, Ajay Gupta, Jasjit S. Suri, "Accurate Lumen Diameter Measurement in Curved Vessels based on Iterative Spatial Transformation and Scale Space Techniques", Medical & Biological Engineering & Computing, pp 1:20, 2016. [link] 

20. Tadashi Araki,  Krishna Kumar P, Harman S Suri, Nobutaka Ikeda, Ajay Gupta, Luca Saba, Jeny Rajan, Francesco Lavra, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John L Laird, Jasjit S. Suri, "Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches", Journal of Medical Systems, Vol. 40 (182), pp: 1:19, 2016.[link]

19.  P.V Sudeep, P Palanisamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S Suri,  “Speckle Reduction in Medical Ultrasound Images using an Unbiased Non-Local Means Method”, Biomedical Signal Processing and Control, Vol 28, pp: 1-8, 2016.[link]

18. Tadashi Araki, Asheed Kumar, Krishna Kumar P,  Nobutaka Ikeda,  Ajay Gupta, Luca Saba, Jeny Rajan,  Francesco Lavra, Aditya M Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, , Jasjit S. Suri, "Ultrasound-Based Automated Carotid Lumen Diameter/Stenosis Measurement and its Validation System", Journal of Vascular Ultrasound, Vol 40 (3),pp 120-134, 2016.

17. P.V.  Sudeep, S. Issac Niwas S, P. Palanisamy, Jeny  Rajan, Yu. Xiaojun, Xianghong Wang, Yuemei Luo, Linbo Liu, Enhancement and Bias Removal of Optical Coherence Tomography Images: an Iterative Approach with Adaptive Bilateral Filtering, Computers in Biology and Medicine, Vol 71, pp 97-107, 2016 [link]

16. Luca Saba, Tadashi Araki, Krishna Kumar, Jeny  Rajan, Francesco Lavra, Nobutaka Ikeda, Aditya M Sharma, Shoaib Shafique, Andrew Nicolaides, John R Laird, Ajay Gupta, and Jasjit Suri, Carotid Inter-Adventitial Diameter is More Strongly Related to Plaque Score Than Lumen Diameter: An Automated Tool for Stroke Analysis, Journal of Clinical Ultrasound, 2016 (In Press), [link]

15. Adithya Upadhya,, Basavaraj Talawar, Jeny  Rajan, "GPU implementation of Non Local Maximum Likelihood method for MRI denoising"  Journal of Real Time Image Processing Vol. 13, pp: 181-192, 2017. [link]

14. Rani Oomman Panicker, Biju Soman, Gagan Saini, Jeny  Rajan, "A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images", Journal of Medical Systems, Vol. 40,pp 1 - 13, 2016 [link]

13. Aditya M.Sharma, Ajay Gupta, Krishna Kumar P, Jeny Rajan, Luca Saba, Ikeda Nobutaka, John R Laird, Andrew Nicolades, Jasjit S. Suri, A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework”, Current Atherosclerosis Reports (Springer),Vol 17, pp 1: 13, 2015. [link]

12. Krishna Kumar P, Darshan P, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S Suri, “Robust denoising MRI filter using non-local maximum likelihood paradigm in DCT framework”, International Journal of Imaging Systems and Technology, Vol 25, pp 256 : 264, 2015. [link]  

11. Sudeep P.V, Palanisamy P, Chandrasekharan Kesavadas, Jeny Rajan, , “Nonlocal Linear Minimum Mean Square Error Methods for Denoising MRI”, Biomedical Signal Processing and Control (Elsevier) , Vol 20, pp 125-134, 2015. [link]

10. Riji R., Jeny Rajan, Jan Sijbers and Madhu S. Nair, "Iterative Bilateral Filter for Rician Noise Reduction in MR Images", Signal, Image and Video Processing. Vol 9, pp 1543 - 1548, 2015 [link]

9. Jeny Rajan, Arnold J. den Dekker and Jan Sijbers, "A new non local maximum likelihood estimation method for Rician noise reduction in Magnetic Resonance images using the Kolmogorov-Smirnov test ", Signal Processing, Vol 103, pp 16-23, 2014.[link]

8.Jelle Veraart, Jeny Rajan, Ronald R. Peeters,  Alexander Leemans,  Stefan Sunaert,  Jan Sijbers, "Comprehensive framework for accurate diffusion MRI parameter estimation", Magnetic Resonance in Medicine, Vol. 81, issue 4, pp. 972-984, 2013.[link]

7. Jeny Rajan,  Jelle Veraart, Johan Van Audekerke, Marleen Verhoye and  Jan Sijbers, “Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images", Magnetic Resonance Imaging, Vol 30, pp 1512-1518, 2012 [pdf]

6. Mai Zhenhua, Jeny Rajan, Marleen Verhoye, Jan Sijbers, “Robust edge-directed interpolation of magnetic resonance images", Physics in Medicine and Biology, Vol 56, pp 7287 - 7303, 2011 [link]

5. Jeny Rajan, Ben Jeurissen, Marleen Verhoye, Johan Van Audekerke, Jan Sijbers, “Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods", Physics in Medicine and Biology, Vol 56, pp 5221- 5234,2011.[link][pdf]

4. Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers, “Noise measurement from magnitude MRI using local estimates of variance and skewness", Physics in Medicine and Biology, Vol 55, pp N441-N449, 2010. [pdf][matlab code]

3. Jaber Juntu, Jan Sijbers, Steve De Baker, Jeny Rajan, Dirk Van Dyck,“Machine Learning Study of Several Classifiers Trained with Texture Analysis Features to Differentiate Benign from Malignant Soft-Tissue Tumors in T1 MRI Images", Journal of Magnetic Resonance Imaging , Vol. 31,pp 680-689, 2010.[link]

2. Jeny Rajan, K. Kannan, C. Kesavadas, Bejoy Thomas, “Focal Cortical Dysplasia (FCD) Lesion   Analysis with Complex Diffusion Approach", Computerized Medical Imaging & Graphics (Elsevier), Vol. 33 (7),pp 553-558, 2009 [pdf]. 

1. Jeny Rajan, K. Kannan, M.R. Kaimal, “An Improved Hybrid Model for Molecular Image Denoising”, Journal of Mathematical Imaging & Vision, Vol 31, pp 71-78, May 2008.[pdf][matlab code].

Conference (Full Papers) [28] 

28. Govind Jeevan, S J Pawan, Jeny Rajan, Cross Task Temporal Consistency for Semi-Supervised Medical Image Segmentation, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2022), 2022.

27. Dheeraj Kumar Srivastava, SJ Pawan, Jeny Rajan, An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network, In Proceedings of MICCAI Workshop on Artificial Intelligence over Infrared Images for Medical Applications, pp: 83-91, 2022.

26. S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan, Automated Molecular Subtyping of Breast Cancer through Immunohistochemistry Image Analysis, International Conference on Computer Vision and Machine Intelligence (CVMI) 2022, 2022.

25. Anoop B N, Saswat Parida, Ajith B, Girish G N, Abhishek R. Kothari, and Jeny Rajan, Attention Assisted Deep Neural Network Based Retinal Fluid Segmentation from  OCT Images, 9th International Conference on Pattern Recognition and Machine Intelligence (PReMI’21), 2021 (Received Best Paper Award)

24. Sandeep N Menon, V B Vineeth Reddy, A Yeshwanth, Anoop B N, and Jeny Rajan, 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 (Springer), pp: 115-126, 2020. 

23. T Guru Pradeep Reddy, Kandiraju Sai Ashritha, Girish GN, Shashidhar G Koolagudi, Jeny Rajan, Retinal Layer Segmentation using Dilated Convolutions, Proceedings of 3rd International Conference on Computer Vision and Image Processing (Springer), pp: 279-292, 2020

22. Narendra Rao T. J., Girish G N, Abhishek R. Kothari and Jeny Rajan, Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans, Proceedings of IEEE Eng Med Biol Soc, pp: 978 - 981,  2019.

21.  GN Girish, Banoth Saikumar, Sohini Roychowdhury, Abhishek R. Kothari and Jeny Rajan, "Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cysts Segmentation”, Proceedings of IEEE Eng Med Biol Soc, pp: 2027- 2031,  2019

20. Krishna Kumar P, C. Kesavadas, Jeny Rajan, A Semi-automatic Method for Carotid Artery Wall Segmentation in MR Images, Proceedings of 2016 IEEE Annual India Conference (INDICON) (IEEE), 2016.

19. Girish G.N, Abhishek R. Kothari, Jeny Rajan, Automated Segmentation of Intra-Retinal Cysts from Optical Coherence Tomography Scans Using Marker Controlled Watershed Transform, in Proceedings of 2016 IEEE 38th Annual international conference of the Engineering in Medicine and Biology Society (EMBS 2016), pp 1292-1295, 2016.

18. Remya K Sudheesh, Jeny Rajan, V. S. Veena, Sujathan K, "Study of malignancy associated changes in sputum images as an indicator of lung cancer", Proceedings of IEEE Students' Technology Symposium (IIT Kharagpur), pp: 102:105, 2016

17. Gagan Saini, Rani Oomman Panicker, Biju Soman, Jeny Rajan, Comparative study of different autofocus methods for TB bacilli detection from bright field microscopy images, IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics,  2016 (Accepted).

16. Soorajkumar R, Krishnakumar P, Girish D, Jeny Rajan, Coupled PDE for ultrasound de-speckling using ENI Classification, ICISP 2016, 2016 (Accepted).

15. Soorajkumar R, Krishna Kumar P, Girish D, Jeny Rajan, Fourth Order PDE Based Ultrasound Despeckling Using ENI Classification, SPCOM 2016, IISc Bangalore, 2016. (Accepted).

14. Narendra Rao T.J, Girish G N and Jeny Rajan, An Improved Contextual Information Based Approach for Anomaly Detection via Adaptive Inference for Surveillance, International Conference on Computer Vision & Image Processing (CVIP 2016), IIT Roorke, 2016 (Accepted) (Received Best student paper Award).

13. Aneesh G Nath, Madhu S Nair, Jeny Rajan, “Single image super resolution from compressive samples using two level sparsity based reconstruction”, Procedia  Computer Science (Elsevier) Vol. 46, pp 1643-1652,  2015.

12. Sudeep P.V, Palanisamy P, Jeny Rajan, “A Hybrid model for Rician noise reduction in MRI”, 2013 Second International Conference on Advanced Computing, Networking and Security (ADCONS 2013, IEEE), pp 58-61, 2013.

11. Jeny Rajan, Arnold J. den Dekker, Jaber Juntu and Jan Sijbers, “A new non local maximum likelihood estimation method for denoising Magnetic Resonance images", In: P. Maji et al. (Eds.): PReMI 2013, LNCS 8251, pp. 451–458, 2013, Springer, Heidelberg (2013).

10. Jeny Rajan, Johan Van Audekerke, Annemie Van Der Linden, Marleen Verhoye and Jan Sijbers, "An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images", IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp 1136-1139, 2012.

9.  Mai Zhenhua, Jeny Rajan, Marleen Verhoye, Jan Sijbers, "Robust edge-directed interpolation of magnetic resonance images", 4th International Conference on Biomedical Engineering and Informatics (BEMI), pp 471-475, 2011.

8. Jeny Rajan, Marleen Verhoye, Jan Sijbers, "A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood", Proceedings of  SPIE Medical Imaging 2011,Vol. 7962,79624U, 2011 [link]

7. Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers, "Segmentation based noise variance estimation from background MRI data", International Conference on Image Analysis & Recognition (ICIAR 2010), LNCS Vol. 6111, pp 62-70, 2010 [pdf]

6. Jeny Rajan, K. Kannan, Ben Jeurissen, Jan Sijbers, "Denoising Mangetic Resonsnce Images using Fourth Order Complex Diffusion", Proceedings of 2009 13th Irish Machine Vision Conference (IMVIP 2009, IEEE), pp 123- 127, September 2009.[pdf]

5. Jeny Rajan, K.Kannan, M.R. Kaimal, "Smoothening and Sharpening Effects of  Theta in Complex Diffusion for Image Processing", Proceedings of 7th International Conference on Advances in Pattern Recognition (ICAPR 2009, IEEE), February 2009. 

4. K. Kannan, Jeny Rajan, “A Novel Method for Automatic Heart Localization from Thoracic SPECT Planar Images”, Proceedings of National Conference on Computer Vision, Pattern Recognition, Image Processing & Graphics (NCVPRIPG08), January 2008 [pdf].

3. Jeny Rajan, K. Kannan, Thomas Francis, C. Kesavadas, Chandrasekhar P.S, M.R Brain Volume Analysis using BrainAssist, Proceedings of International Conference on Systemics Cybernetics & Informatics, January 2008.[pdf]

2. Jeny Rajan, M.R.Kaimal, “Image Denoising using Wavelet Embedded Anisotropic Diffusion (WEAD)”, Proceedings of IET International Conference on Visual Information Engineering 2006, pp 589-593 , September 2006.

1. Jeny Rajan, M.R. Kaimal, “Speckle reduction in Images with WEAD & WECD”, Lecture Notes in Computer Science (LNCS), Springer – Verlag, Vol. 4338, pp 184-193, December 2006.

Conference (Abstracts) [11]

11. A.M Sharma, T Araki, A. M. Kumar, N Ikeda, F Lavra, J Rajan, L Saba, A Nicolaides, J R Laird, S Shafique, J S Suri, "Automated carotid artery lumen measurement utilizing ultrasound", Society for Vascular Medicine (SVM), 26th Annual Scientific Sessions, Maryland USA, 2015.

10. J. Veraart, J. Rajan, R. R. Peeters, A.  Leemans, S. Sunaert, J. Sijbers, Diffusion MRI: Estimation of spatially variable Rician noise, ESMRMB 2012,pp :266, 2012.

9. Jeny Rajan, Johan Van Audekerke, Jelle Veraart, Marleen Verhoye  and  Jan Sijbers, "  An extended NLML method for denoising non-central chi distributed data - application to parallel MRI", Fourth annual meeting of Benelux ISMRM chapter, pp 41, 2012. 

8. Jeny Rajan, Jan Sijbers, "Denoising SENSE reconstructed MR images", 5th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (EMBS), December 2011.

7. Mai Zhenhua, Jeny Rajan, Marleen Verhoye, Jan Sijbers, "Robust edge-directed interpolation of diffusion weighted MR images", Proceedings of the 28th Annual Scientific Meeting, European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2011) Leipzig, Germany, pp 382, 2011.

6. Jeny Rajan, Johan Van Audekerke, Marleen Verhoye, Annemie Van der Linden and Jan Sijbers, "Denoising magnitude MRI using an adaptive NLML method", Proceedings of the 28th Annual Scientific Meeting, European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2011) Leipzig, Germany, pp 383, 2011.

5. Maryna Kudiznova, Jeny Rajan, Jan Sijbers, "Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters", Proceedings of the 28th Annual Scientific Meeting, European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2011)Leipzig, Germany, pp 236, 2011.

4. Jeny Rajan, K. Kannan, C. Kesavadas, Complex diffusion based approach for Focal Cortical Dysplasia (FCD) lesion detection from MR brain images, 20th Kerala Science Congress, January 2008.

3. Jeny Rajan, K. Kannan, C. Kesavadas, Thomas Francis, Chandrasekhar P.S, “FCD Lesion Analysis with BrainAssist” 16th Asian Conference of Radiological Technologists.November 2007.

2. Jeny Rajan, K. Kannan, C. Kesavadas, Bijoy Thomas, Arun Kumar Gupta “A Partial Differential Equation based Approach for Focal Cortical Dysplasia (FCD) lesion detection”, 16th Asian Conference of Radiological Technologists, Chandigarh, India, November 2007.

1. Jeny Rajan, Roopak Sudhakar, M.R. Kaimal, “A Novel Method for Embedding Fingerprint in Face Images”, Proceedings 19th Kerala Science Congress, pp 853-854, January 2007