Year : 2024
Automated Quantification of Mammographic Density in Craniocaudal Oblique-View Radiographs
Cite this Research Publication : K.Athira,J.Lekshmi,D.K.Vijayakumar,and N.K.Subbanna,``Automated Quantification of Mammographic Density in Craniocaudal
Oblique-View Radiographs’’, accepted for publication at 9th IEEE conference on convergence in technology (I2CT 2024)
Year : 2023
Atlas based breast registration and segmentation in the Medio lateral Obliqueand Craniocaudal views
Cite this Research Publication : K.Athira,J.Dharmarajan,D.K.Vijayakumar,and N.K. Subbanna, ``Atlas based breast registration and segmentation in the Medio lateral Obliqueand Craniocaudal views’’, in 2nd International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2023)
Year : 2023
A survey of the various techniques used for breast segmentation from mammogram
Cite this Research Publication : K.Athira,J.Dharmarajan,D.K.Vijayakumar, and N. K. Subbanna, ``A survey of the various techniques used for breast segmentation from mammogram’’,in International Conference On Distributed Computing And Electrical Circuits And Electronics 2023
Year : 2022
Estimation of Breast Density from Human mammograms using U-Nets
Cite this Research Publication : Y.Saikumar,J.P.Dharmarajan,S.S.Karve,D.K. Vijayakumar,andN.K.Subbanna,``Estimation of Breast Density from Human mammograms using U-Nets’’, in proceedings of the 6th International Conference on Computing, Communication, Control and Automation (ICCUBEA-2022)
Publisher : IEEE
Year : 2021
Understanding Privacy Risks in Typical Deep Learning Models for Medical Image Analysis
Cite this Research Publication : N. K. Subbanna, A. Tuladhar, M. Wilms, and N. D. Forkert, "Understanding Privacy Risks in Typical Deep Learning Models for Medical Image Analysis", Accepted for Publication at SPIE 2020, San Diego, February 2021.
Publisher : Proceedings Volume 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications
Year : 2019
Morphology-based estimation of disease duration in multiple sclerosis patients using T1-weighted MRI datasets
Cite this Research Publication : N. K. Subbanna, A. Rauscher, D. Li, A. Traboulsee, G. B. Pike, N. D. Forkert, "Morphology-based estimation of disease duration in multiple sclerosis patients using T1-weighted MRI datasets", Computer Aided Radiology and Surgery, Rennes, June 18-21, 2019.
Publisher : Computer Aided Radiology and Surgery.
Year : 2018
Novel Techniques for MS Lesion Segmentation Algorithm Evaluation
Cite this Research Publication : I. Oguz, A. Carass, D. L. Pham, S. Roy, N. K. Subbanna, P. A. Calabresi, P. A. Yushkevich, R. T. Shinohara, J. L. Prince, "Novel Techniques for MS Lesion Segmentation Algorithm Evaluation", Multiple Sclerosis Journal, Vol. 24: pp. 72-73 (ACTRIMS Presentation), 2018.
Publisher : Multiple Sclerosis Journal.
Year : 2017
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation
Cite this Research Publication : I. Oguz, A. Carass, D. L. Pham, S. Roy, N. K. Subbanna, P. A. Calabresi, P. A. Yushkevich, R. T. Shinohara, J. L. Prince, "Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation", International MICCAI Brain Lesion Workshop, pp. 3-14, MICCAI 2017. doi: 10.1007/978-3-319-75238-9_1
Publisher : International MICCAI Brain Lesion Workshop.
Year : 2017
Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion
Cite this Research Publication : M. Dong, I. Oguz, N. K. Subbanna, P. Calabresi, R. T. Shinohara, and P. Yuskhevich, “Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion”, Patch Based Techniques in Medical Imaging, MICCAI 2017.
Publisher : Patch Based Techniques in Medical Imaging, MICCAI 2017
Year : 2017
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials
Cite this Research Publication : Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh Subbanna, Douglas L. Arnold, Tal Arbel, "Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials", Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, pp.15-28. (Invited Talk)
Publisher : Third International Workshop, BrainLes 2017
Year : 2015
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI
Cite this Research Publication : N.K. Subbanna, D. Precup, D.L. Arnold, and T. Arbel, “IMaGE: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI”, in Proceedings of Information Processing for Medical Imaging (IPMI), 2015. (Acceptance Rate in IPMI 2015: 31%) DOI: 10.1007/978-3-319-19992-4_40
Publisher : Proceedings of Information Processing for Medical Imaging (IPMI) .
Year : 2014
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI
Cite this Research Publication : N. K. Subbanna, D. Precup and T. Arbel, "Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI", Accepted to the 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), June 2014. (Acceptance Rate in CVPR 2014: 29.7%)
Publisher : 2014 IEEE Conference on Computer Vision and Pattern Recognition
Year : 2013
Hierarchical Probabilistic Segmentation of Brain Tumours in MRI
Cite this Research Publication : N. K. Subbanna, D. Precup, D. L. Collins and T. Arbel, ``Hierarchical Probabilistic Segmentation of brain tumours in MRI'' in Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '13), Nagoya, Japan, Sept. 2013, Lecture Notes in Computer Science, Springer, Vol. 8149, pp. 751-758. (Acceptance Rate in MICCAI 2013: 32%)
Publisher : Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '13), Nagoya, Japan, Sept. 2013, Lecture Notes in Computer Science, Springer.
Year : 2012
Probabilistic Gabor and Markov Random Fields Segmentation of Brain Tumours in MRI Volumes
Cite this Research Publication : N. K. Subbanna, V. Fonov, D. L. Collins, and T. Arbel, "Probabilistic Gabor and Markov Random Fields Segmentation of Brain Tumours in MRI Volumes", in Proceedings of the Workshop on Multimodal Brain Tumor Segmentation Challenge (BraTS 2012) held in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '12), Nice, France, October 2012. (Oral Presentation)
Publisher : Proceedings of the Workshop on Multimodal Brain Tumor Segmentation Challenge (BraTS 2012) held in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '12)
Year : 2011
Adapted MRF Segmentation of MS Lesions Using Local Contextual Information
Cite this Research Publication : N. K. Subbanna, S. J. Francis, D. Precup, D. L. Collins, D. L. Arnold, and T. Arbel, "Adapted MRF Segmentation of MS Lesions Using Local Contextual Information", in Medical Image Understanding and Analysis (MIUA 2011), July 14-15, London.
Publisher : Medical Image Understanding and Analysis
Year : 2009
MS Lesion Segmentation using Markov Random Fields
Cite this Research Publication : N. K. Subbanna, M. Shah, S. J. Francis, S. Narayanan, D. L. Collins, D. L. Arnold, and T. Arbel, "MS Lesion Segmentation using Markov Random Fields'', in Proceedings of the MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis (Segmentation and Validation Issues) 2009 (MIAMS09), pp. 15-26, September 2009, London.
Publisher : Proceedings of the MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis (Segmentation and Validation Issues) 2009 (MIAMS09)
Year : 2008
Capturing Metabolite Flow in Biological Systems through Kinetic Radio-tracer simulations
Cite this Research Publication : N. K. Subbanna, J. P. Bhat, Y. Y. Zeevi, and N. R. Chandra, ``Capturing Metabolite Flow in Biological Systems through Kinetic Radio-tracer simulations'', in Proceedings of the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
Publisher : Proceedings of the 9th International Conference on Systems Biology, Gothenburg, Sweden.
Year : 2007
An Efficient Analysis of Protein Conformation Using Sequence Representations in Combined Space
Cite this Research Publication : N. K. Subbanna, Y. Y. Zeevi, and N. Lotan, "An Efficient Analysis of Protein Conformation Using Sequence Representations in Combined Space", in Proceedings of 21st Symposium of the Protein Society, July 2007.
Publisher : Proceedings of 21st Symposium of the Protein Society
Year : 2006
Image Representations Using Non-Canonical Discrete Multiwindow Gabor Frames
Cite this Research Publication : N. K. Subbanna, and Y. Y. Zeevi, "Image Representations Using Non-Canonical Discrete Multiwindow Gabor Frames", in Proceedings of the 3rd International conference on Visual Information Engineering, Bangalore, India (VIE 2006), September 2006.
Publisher : Proceedings of the 3rd International conference on Visual Information Engineering
Year : 2005
An Efficient Analysis Technique for DNA Sequences Using Multiwindow Gabor Representations
Cite this Research Publication : N. K. Subbanna, and Y. Y. Zeevi, "An Efficient Analysis Technique for DNA Sequences Using Multiwindow Gabor Representations", in Proceedings of the 13th European Signal Processing Conference, Antalya, Turkey (EUSIPCO 05), September 2005 (One of the Ten Best Student Papers of the Conference).
Publisher : Proceedings of the 13th European Signal Processing Conference
Year : 2005
Indexing of Macromolecules Using Multiwindow Gabor Representations
Cite this Research Publication : N. K. Subbanna, Y. Y. Zeevi, “Indexing of Macromolecules Using Multiwindow Gabor Representations”, in Proceedings of 4th International Workshop on Content Based Multimedia Indexing, Riga, Latvia (CBMI 05), June 2005.
Publisher : Proceedings of 4th International Workshop on Content Based Multimedia Indexing, Riga, Latvia (CBMI 05).
Year : 2005
Oversampling of the Generalised Multiwindow Gabor Space
Cite this Research Publication : N. K. Subbanna, Y. C. Eldar, and Y. Y. Zeevi, “Oversampling of the Generalised Multiwindow Gabor Space”, in Proceedings of the 6th International Workshop on Sampling Theory and Applications, Samsun, Turkey (SampTA 05), July 2005.
Publisher : Proceedings of the 6th International Workshop on Sampling Theory and Applications
Year : 2004
Efficient Gabor expansion using non minimal dual Gabor windows
Cite this Research Publication : N. K. Subbanna, and Y. C. Eldar, “Efficient Gabor Expansion Using Non-Minimal Dual Gabor Windows”, in the Proceedings of the 11th International Conference on Electronics, Circuits, and Systems, Tel-Aviv, Israel (ICECS 2004), December 2004. DOI: 10.1109/ICECS.2004.1399764
Publisher : Proceedings of the 11th International Conference on Electronics, Circuits, and Systems, Tel-Aviv, Israel (ICECS 2004)
Year : 2004
A Fast Algorithm for Calculating the Dual Gabor Window with Integer Oversampling
Cite this Research Publication : N. K. Subbanna, and Y. C. Eldar, “A Fast Algorithm for Calculating the Dual Gabor Window with Integer Oversampling", in Proceedings of the 23rd IEEE Convention of Electrical and Electronic Engineers in Israel, Herziliya, Israel (IEEEI 2004), September 2004.
Publisher : Proceedings of the 23rd IEEE Convention of Electrical and Electronic Engineers in Israel, Herziliya, Israel (IEEEI 2004).