Publications

• 1. DSouza AM
  2. Abidin AZ
  3. Leistritz L
  4. Wismüller A
  (2017 Jun 16). Exploring Connectivity with Large-Scale Granger Causality on Resting-State Functional MRI. Journal of neuroscience methods.
• 1. Deng B
  2. Abidin AZ
  3. DSouza AM
  4. Nagarajan MB
  5. Chockanathan U
  6. Coan P
  7. Wismüller A
  (2017 Jan 01). Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks Accepted for publication. Proc. of SPIE.
• 1. Abidin AZ
  2. DSouza AM
  3. Chockanathan U
  4. Inglese M
  5. Wismüller A
  (2017 Jan 01). Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis Accepted for publication. Proc. of SPIE.
• 1. DSouza AM
  2. Abidin AZ
  3. Chockanathan U
  4. Leistritz L
  5. Wismüller A
  (2017 Jan 01). Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI Accepted for publication. Proc. of SPIE.
• 1. Abidin AZ
  2. Chockanathan U
  3. Jameson J
  4. Molthen R
  5. Wismüller A
  (2017 Jan 01). Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta Accepted for publication. Proc. of SPIE.
• 1. DSouza AM
  2. Abidin AZ
  3. Chockanathan U
  4. Nagarajan MB
  5. Wismüller A
  (2017 Jan 01). Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning Accepted for publication. Proc. of SPIE.
• 1. Schmidt C
  2. Pester B
  3. Schmid-Hertel N
  4. Witte H
  5. Wismüller A
  6. Leistritz L
  (2016). A Multivariate Granger Causality Concept towards Full Brain Functional Connectivity. PloS one.
• 1. D'Souza AM
  2. Abidin AZ
  3. Nagarajan MB
  4. Wismüller A
  (2016 Jan 01). Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI Proc. of SPIE.
• 1. D'Souza AM
  2. Abidin AZ
  3. Leistritz L
  4. Wismüller A
  (2016 Jan 01). Large-scale Granger causality analysis on resting-state functional MRI Proc. of SPIE.
• 1. Abidin AZ
  2. DSouza AM
  3. Nagarajan MB
  4. Wismüller A
  (2016 Jan 01). Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis Proc. of SPIE.
• 1. Abidin AZ
  2. DSouza AM
  3. Nagarajan MB
  4. Wismüller A
  (2016 Jan 01). Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA) Proc. of SPIE.
• 1. Checefsky WA
  2. Abidin AZ
  3. Nagarajan MB
  4. Bauer JS
  5. Baum T
  6. Wismüller A
  (2016 Jan 01). Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure Proc. of SPIE.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Wismüller A
  (2015 Nov). Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography. Medical & biological engineering & computing.
• 1. Wismüller A
  2. Wang X
  3. DSouza AM
  4. Hobbs SK
  5. Leistritz L
  6. Nagarajan MB
  (2015 Jan 01). Nonlinear Functional Connectivity Network Recovery in the Human Brain with Mutual Connectivity Analysis (MCA): Convergent Cross-Mapping and Non-Metric Clustering Proc. of SPIE.
• 1. Wismüller A
  2. DSouza AM
  3. Abidin AZ
  4. Wang X
  5. Hobbs SK
  6. Nagarajan MB
  (2015 Jan 01). Functional Connectivity Analysis in Resting State fMRI with Echo-State Networks and Non-Metric Clustering for Network Structure Recovery Proc. of SPIE.
• 1. Wang X
  2. Nagarajan MB
  3. Abidin AZ
  4. D'Souza A
  5. Hobbs SK
  6. Wismüller A
  (2015 Jan 01). Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI Proc. of SPIE.
• 1. Nagarajan MB
  2. Checefsky WA
  3. Abidin AZ
  4. Tsai H
  5. Wang X
  6. Hobbs SK
  7. Bauer JS
  8. Baum T
  9. Wismüller A
  (2015 Jan 01). Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography Proc. of SPIE.
• 1. Abidin AZ
  2. Nagarajan MB
  3. Checefsky WA
  4. Coan P
  5. Diemoz PC
  6. Hobbs SK
  7. Huber MB
  8. Wismüller A
  (2015 Jan 01). Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography Proc. of SPIE.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Wismüller A
  (2015). Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. PloS one.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Wismüller A
  (2015 Jan 01). Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography PLOS One.
• 1. Yang CC
  2. Nagarajan MB
  3. Huber MB
  4. Carballido-Gamio J
  5. Bauer JS
  6. Baum T
  7. Eckstein F
  8. Lochmüller E
  9. Majumdar S
  10. Link TM
  11. Wismüller A
  (2014 Feb 4). Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. Journal of electronic imaging.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismüller A
  (2014 Feb). Computer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features. Journal of digital imaging.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2014 Jan). Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. Artificial intelligence in medicine.
• 1. Yang C
  2. Nagarajan MB
  3. Huber MB
  4. Carballido-Gamio J
  5. Bauer JS
  6. Baum T
  7. Eckstein F
  8. Lochmüller E
  9. Majumdar S
  10. Link TM
  11. Wismüller A
  (2014 Jan 01). Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone micro-architecture and support vector regression Journal of Electronic Imaging.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2014 Jan 01). Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology Artificial Intelligence in Medicine.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismuller A
  (2013 Oct). Computer-aided diagnosis in phase contrast imaging X-ray computed tomography for quantitative characterization of ex vivo human patellar cartilage. IEEE transactions on bio-medical engineering.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2013 Oct 1). Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time. Machine vision and applications.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2013 Jan 1). Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection. Journal of medical and biological engineering.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2013 Jan 01). Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement Machine Vision and Applications.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2013 Jan 01). Classification of small lesions on breast MRI: evaluating the role of dynamically extracted texture features through feature selection Journal of Medical and Biological Engineering.
• 1. Bhole C
  2. Pal C
  3. Rim D
  4. Wismüller A
  (2013 Jan 01). 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning Machine Vision and Applications.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismüller A
  (2013 Jan 01). Computer-aided diagnosis for phase-contrast x-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features Journal of Digital Imaging.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismüller A
  (2013 Jan 01). Computer-aided diagnosis in phase contrast imaging x-ray computed tomography for quantitative characterization of ex vivo human patellar cartilage IEEE Transactions on Biomedical Engineering.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Wismüller A
  (2013 Jan 01). Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast x-ray computed tomography Computerized Medical Imaging and Graphics.
• 1. Nagarajan MB
  2. De T
  3. Lochmüller EM
  4. Eckstein F
  5. Wismüller A
  (2013 Jan 01). Using anisotropic 3D Minkowski functionals for trabecular bone characterization and biomechanical strength prediction in proximal femur specimens Proceedings of SPIE: Accepted for publication at SPIE Medical Imaging 2014.
• 1. Wang X
  2. Nagarajan MB
  3. Conover D
  4. Ning R
  5. O'Connell A
  6. Wismüller A
  (2013 Jan 01). Investigating the use of texture features for analysis of breast lesions on contrast-enhanced cone beam CT Proceedings of SPIE: Accepted for publication at SPIE Medical Imaging 2014.
• 1. Yang C
  2. Nagarajan MB
  3. Huber MB
  4. Carballido-Gamio J
  5. Bauer JS
  6. Baum T
  7. Eckstein F
  8. Lochmüller EM
  9. Link TM
  10. Wismüller A
  (2013 Jan 01). Predicting the biomechanical strength of proximal femur specimens with Minkowski functionals and support vector regression Proceedings of SPIE: Accepted for publication at SPIE Medical Imaging 2014.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Wismüller A
  (2013 Jan 01). Phase contrast imaging X-ray computed tomography: Quantitative characterization of human patellar cartilage matrix with topological and geometrical features Proceedings of SPIE: Accepted for publication at SPIE Medical Imaging 2014.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismüller A
  (2013 Jan 01). Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features Proceedings of SPIE.
• 1. Wismüller A
  2. De T
  3. Lochmüller EM
  4. Eckstein F
  5. Nagarajan MB
  (2013 Jan 01). Introducing anisotropic Minkowski functionals and quantitative anisotropy measures for local structure analysis in biomedical imaging Proceedings of SPIE.
• 1. Yang C
  2. Nagarajan MB
  3. Huber MB
  4. Carballido-Gamio J
  5. Bauer JS
  6. Baum T
  7. Eckstein F
  8. Lochmüller EM
  9. Majumdar S
  10. Link TM
  11. Wismüller A
  (2013 Jan 01). Predicting the biomechanical strength of proximal femur specimens through high dimensional geometric features and support vector regression Proceedings of SPIE.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Diemoz PC
  5. Glaser C
  6. Wismüller A
  (2013 Jan 01). Phase contrast computed tomography: classification of osteoarthritic and healthy chondrocyte patterns in human patella cartilage through local scaling properties Radiological Society of North America Scientific Meeting: Accepted for publication..
• 1. Yang C
  2. Huber MB
  3. Carballido-Gamio J
  4. Bauer JS
  5. Baum T
  6. Nagarajan MB
  7. Eckstein F
  8. Lochmüller EM
  9. Majumdar S
  10. Link TM
  11. Wismüller A
  (2013 Jan 01). Evaluating proximal femur bone strength prediction by advanced characterization of trabecular microarchitecture using scaling index computation and support vector regression Radiological Society of North America Scientific Meeting: Accepted for publication.
• 1. Huber MB
  2. Bunte K
  3. Nagarajan MB
  4. Biehl M
  5. Ray LA
  6. Wismüller A
  (2012 Oct). Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artificial intelligence in medicine.
• 1. Huber MB
  2. Bunte K
  3. Nagarajan MB
  4. Biehl M
  5. Ray LA
  6. Wismüller A
  (2012 Jan 01). Texture feature ranking with relevance learning to classify interstitial lung disease patterns Artificial Intelligence in Medicine.
• 1. Nagarajan MB
  2. Huber MB
  3. Schlossbauer T
  4. Leinsinger G
  5. Krol A
  6. Wismüller A
  (2012 Jan 01). Classification of small lesions on dynamic breast MRI: integrating dimension reduction and out-of-sample extension into CADx methodology Artificial Intelligence in Medicine.
• 1. Nagarajan MB
  2. Coan P
  3. Huber MB
  4. Yang C
  5. Glaser C
  6. Reiser MF
  7. Wismüller A
  (2012 Jan 01). Characterization of healthy and osteoarthritic chondrocyte cell patterns on phase contrast CT images of the knee cartilage matrix. Proceedings of SPIE.
• 1. Huber MB
  2. Yang C
  3. Carballido-Gamio J
  4. Bauer JS
  5. Baum T
  6. Nagarajan MB
  7. Eckstein F
  8. Lochmüller E
  9. Majumdar S
  10. Link TM
  11. Wismüller A
  (2012 Jan 01). Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression Proceedings of SPIE.
• 1. Huber MB
  2. Yang C
  3. Nagarajan MB
  4. Eckstein F
  5. Wismüller A
  (2012 Jan 01). Bone mineral density features and support vector regression for predicting the biomechanical strength of proximal femur specimens Center of Emerging and Innovative Sciences University Technology Showcase.
• 1. Huber MB
  2. Lancianese SL
  3. Nagarajan MB
  4. Ikpot IZ
  5. Lerner AL
  6. Wismuller A
  (2011 Jun). Prediction of biomechanical properties of trabecular bone in MR images with geometric features and support vector regression. IEEE transactions on bio-medical engineering.