Publications from Imeka's technology

On both the academic and scientific front, Imeka is forging ahead, participating in breakthrough endeavours and collaborating with the best in the field.

Publications using Imeka's technology and services

G. Theaud, J-C. Houde, A. Bore, F. Rheault, F. Morency, M. Descoteaux, TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity NeuroImage, Volume 218, September 2020.

Roy. M, Dumont. M, Houde. JC, Morency. F, and Descoteaux. M. Longitudinal assessment of neuroinflammation & axonal loss in white matter tracts in Alzheimer’s Disease. Alzheimer’s Association International Conference (AAIC) Virtual Event, July 2020.

Dumont, M., M. Roy, P-M. Jodoin, F.C. Morency, J-C. Houde, Z. Xie, C. Bauer, T.A. Samad, K. R. A. Van Dijk, J. Goodman, M. Descoteaux, “Free water in white matter differentiates MCI and AD from control subjects”, Frontiers Aging Neuroscience, 02 October 2019.

A. Papadopoulou, L. Gaetano, A. Pfister, A. Altermatt, C. Tsagkas, F. Morency, A. U. Brandt, M. Hardmeier, M. M. Chakravarty, M. Descoteaux, L. Kappos, T. Sprenger, and S. Magon. “Damage of the lateral geniculate nucleus in MS.” Neurology, 2019.

A. Hanganu, J.-C. Houde, V. S. Fonov, C. Degroot, B. Mejia-Constain, A.-L. Lafontaine, V. Soland, S. Chouinard, L. D. Collins, M. Descoteaux, and O. Monchi. “White matter degeneration profile in the cognitive cortico-subcortical tracts in Parkinson’s disease.” Movement Disorders, 03307 (7), 2018.

S. Obaid, A. Tucholka, J. Ghaziri, P. M. Jodoin, F. Morency, M. Descoteaux, A. Bouthillier, and D. K. Nguyen. “Cortical thickness analysis in operculo-insular epilepsy.” NeuroImage: Clinical, 19 (May) , 2018.

M. Cousineau, P. M. Jodoin, F. C. Morency, V. Rozanski, M. Grand’Maison, B. J. Bedell, and M. Descoteaux. “A test-retest study on Parkinson’s PPMI dataset yields statistically significant white matter fascicles.” NeuroImage: Clinical, 16 (July) , . 2017.

Brandao, P., C. Jovem, J. Brasil-Neto, C. Tomaz, M. Descoteaux, and N. Allem. “Congenital mirror movements: lack of decussation of pyramids.” Brain, 1-4, 2014.

Publications from collaborators and Sherbrooke Connectivity Imaging Lab (SCIL)

A. Théberge, C. Desrosiers, M. Descoteaux, P-M. Jodoin. Track-to-Learn: A general framework for tractography with deep reinforcement learning. Medical Image Analysis, Volume 72, August 2021.

A. Pichet Binette, G. Theaud, F. Rheault, M. Roy, D L. Collins, J. Levin, H. Mori, J. Hong Lee, M. Rhys Farlow, P. Schofield, J. P. Chhatwal, C. L. Masters, T. Benzinger, J. Morris, R. Bateman, J. Cs Breitner, J. Poirier, J. Gonneaud, M. Descoteaux, S. Villeneuve, DIAN Study Group and the PREVENT-AD Research Group. Bundle-specific associations between white matter microstructure and Aβ and tau pathology in preclinical Alzheimer’s disease. Elife, May 13 2021.

Md Nasir Uddin, Abrar Faiyaz, Lu Wang, Yuchuan Zhuang, Kyle D. Murray, Maxime Descoteaux, Madalina E. Tivarus, Miriam T. Weber, Jianhui Zhong, Xing Qiu & Giovanni Schifitto. A longitudinal analysis of brain extracellular free water in HIV infected individuals. Scientific Reports volume 11, April 15 2021.

M. Roy, F. Rheault, E. Croteau, C-A. Castellano, M. Fortier, V. St-Pierre, J-C. Houde, É. E. Turcotte, C. Bocti, T. Fulop, S. C. Cunnane, M. Descoteaux.
Fascicle- and Glucose-Specific Deterioration in White Matter Energy Supply in Alzheimer’s Disease. Journal of Alzheimer Disease, June 15 2020.

G. Nolze-Charron, R. Dufort-Rouleau, J-C. Houde, M. Dumont, C.-A. Castellano, S. Cunnane, D. Lorrain, T. Fülöp, M. Descoteaux, C. Bocti. Tractography of the external capsule and cognition: A diffusion MRI study of cholinergic fibers, Experimental Gerontology, Volume 130, February 2020.

F. Rheault, A. De Benedictis,A . Daducci, C. Maffei, C. M. W. Tax, D. Romascano, E. Caverzasi, F. C. Morency, F. Corrivetti, F. Pestilli, G. Girard, G. Theaud, I. Zemmoura, J. Hau, K. Glavin, K. M. Jordan, K. Pomiecko, M. Chamberland, M. Barakovic, N. Goyette, P. Poulin, Q. Chenot, S. S. Panesar, S. Sarubbo, L. Petit and M. Descoteaux. Tractostorm: The what, why, and how of tractography dissection reproducibility. Human Brain Mapping, January 10, 2020.

F. Rheault, P. Poulin, A. Valcourt Caron, E. St-Onge and M. Descoteaux. Common misconceptions, hidden biases and modern challenges of dMRI tractography. Journal of Neural Engineering, January 13 2020

S. Deslauriers-Gauthier, J.-M. Lina, R. Butler, K. Whittingstall, G. Gilbert, P.-M. Bernier, R. Deriche, and M. Descoteaux. White matter information flow mapping from diffusion MRI and EEG. NeuroImage, 201 (July), 2019

O. Potvin, I. Chouinard, L. Dieumegarde, R. Bartha, P. Bellec, D. L. Collins, M. Descoteaux, R. Hoge, J. Ramirez, C. J. Scott, E. E. Smith, S. C. Strother, S. E. Black, and S. Duchesne. The Canadian Dementia Imaging Protocol: Harmonization validity for morphometry measurements. NeuroImage: Clinical, Volume 24, 2019

M. Chamberland, E. P. Raven, S. Genc, K. Duffy, M. Descoteaux, G. D. Parker, C. M. Tax, and D. K. Jones. Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage, 200 (March), 2019

M. Fortier, C.-a. Castellano, E. Croteau, F. Langlois, C. Bocti, V. St-pierre, C. Vandenberghe, M. Bernier, M. Roy, K. Whittingstall, M. Lepage, E. Turcotte, T. Fulop, and S. Cunnane. “A ketogenic drink improves brain energy and some measures of cognition in MCI.”, Alzheimer’s & Dementia, May, Volume 15, Issue 5, Pages 625–634, 2019

K. G. Schilling, A. Daducci, K. Maier-Hein, C. Poupon, J.-C. Houde, V. Nath, A. W. Anderson, B. A. Landman, and M. Descoteaux. “Challenges in diffusion MRI tractography – Lessons learned from international benchmark competitions.” Magnetic Resonance Imaging, 57, 2019.

M. Boukadi, K. Marcotte, C. Bedetti, J.-C. Houde, A. Desautels, S. Deslauriers-Gauthier, M. Chapleau, A. Bore, M. Descoteaux, and S. M. Brambati. Test-Retest Reliability of Diffusion Measures Extracted Along White Matter Language Fiber Bundles Using HARDI-Based Tractography. Frontiers in Neuroscience, 12 (January), 2019.

E. Sanchez, H. El-Khatib, C. Arbour, C. Bedetti, H. Blais, K. Marcotte, A.-A. Baril, M. Descoteaux, D. Gilbert, J. Carrier, and N. Gosselin. “Brain white matter damage and its association with neuronal synchrony during sleep.” Brain, Mar 1;142(3):674-687. 2019.

F. Rheault, E. St-Onge, J. Sidhu, K. Maier-Hein, N. Tzourio-Mazoyer, L. Petit, and M. Descoteaux. “Bundle-specific tractography with incorporated anatomical and orientational priors.” NeuroImage,  Feb 1;186:382-398. 2019.

K. G. Schilling, V. Nath, C. Hansen, P. Parvathaneni, J. Blaber, Y. Gao, P. Neher, D. B. Aydogan, Y. Shi, M. Ocampo-Pineda, S. Schiavi, A. Daducci, G. Girard, M. Barakovic, J. Rafael-Patino, D. Romascano, G. Rensonnet, M. Pizzolato, A. Bates, E. Fischi, J. P. Thiran, E. J. Canales-Rodriguez, C. Huang, H. Zhu, L. Zhong, R. Cabeen, A. W. Toga, F. Rheault, G. Theaud, J. C. Houde, J. Sidhu, M. Chamberland, C. F. Westin, T. B. Dyrby, R. Verma, Y. Rathi, M. O. Irfanoglu, C. Thomas, C. Pierpaoli, M. Descoteaux, A. W. Anderson, and B. A. Landman. “Limits to anatomical accuracy of diffusion tractography using modern approaches.” NeuroImage, Jan 15;185:1-11.  2019.

E. Najdenovska, Y. Aleman-Gomez, G. Battistella, M. Descoteaux, P. Hagmann, S. Jacquemont, P. Maeder, J.-P. Thiran, E. Fornari, and M. B. Cuadra. “Data Descriptor: In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.” Scientific Data, 5 (October), 2018.

F. Rheault, M. Roy, S. Cunnane, and M. Descoteaux. “Bundle-specific fornix reconstruction for dual-tracer PET-tractometry”. bioRxiv, 2018

J. Constanzo, M. Dumont, R. Lebel, L. Tremblay, K. Whittingstall, L. Masson-Côté, S. Geha, P. Sarret, M. Lepage, B. Paquette, and M. Descoteaux. “Diffusion MRI monitoring of specific structures in the irradiated rat brain.” Magnetic Resonance in Medicine, 80 (4) , 2018.

J. Lefebvre, P. Delafontaine-Martel, P. Pouliot, H. Girouard, and M. Descoteaux. “Fully automated dual-resolution serial optical coherence tomography aimed at diffusion MRI validation in whole mouse brains.” Neurophotonics, 5 (04) , 2018.

J. Ghaziri, A. Tucholka, G. Girard, O. Boucher, J. C. Houde, M. Descoteaux, S. Obaid, G. Gilbert, I. Rouleau, and D. K. Nguyen. “Subcortical structural connectivity of insular subregions.” Scientific Reports, 8 (1) , 2018.

Z. Zhang, M. Descoteaux, J. Zhang, G. Girard, M. Chamberland, D. Dunson, A. Srivastava, and H. Zhu. “Mapping population-based structural connectomes.” NeuroImage, 172 (December) , 2018.

P. Tremblay, M. Perron, I. Deschamps, D. Kennedy-Higgins, J.-C. Houde, A. S. Dick, and M. Descoteaux. “The role of the arcuate and middle longitudinal fasciculi in speech perception in noise in adulthood.” Human Brain Mapping, 2018.

A. Bizeau, G. Gilbert, M. Bernier, M. T. Huynh, C. Bocti, M. Descoteaux, and K. Whittingstall. “Stimulus-evoked changes in cerebral vessel diameter: A study in healthy humans.” Journal of Cerebral Blood Flow & Metabolism, 38 (3) , 2018.

E. Garyfallidis, M.-A. Côté, F. Rheault, J. Sidhu, J. Hau, L. Petit, D. Fortin, S. Cunanne, and M. Descoteaux. “Recognition of white matter bundles using local and global streamline-based registration and clustering.” NeuroImage, Apr 15;170:283-295. 2018.

E. St-Onge, A. Daducci, G. Girard, and M. Descoteaux. “Surface-enhanced tractography (SET).” NeuroImage, Apr 1;169:524-539. 2018.

B. Jeurissen, M. Descoteaux, S. Mori, and A. Leemans. “Diffusion MRI fiber tractography of the brain.” NMR in Biomedicine, 25 September 2017.

M. Chamberland, G. Girard, M. Bernier, D. Fortin, M. Descoteaux, and K. Whittingstall. “On the origin of individual functional connectivity variability: The role of white matter architecture.” Brain Connectivity, Oct;7(8):491-503. 2017.

G. Girard, A. Daducci, L. Petit, J.-P. Thiran, K. Whittingstall, R. Deriche, D. Wassermann, and M. Descoteaux. “AxTract: Toward microstructure informed tractography.” Human Brain Mapping, in press , 2017.

F. Rheault, J.-C. Houde, and M. Descoteaux. “Visualization, Interaction and Tractometry: Dealing with Millions of Streamlines from Diffusion MRI Tractography.” Frontiers in Neuroinformatics, 11 , 26 June. 2017.

V. E. Rozanski, N. M. d. Silva, S.-A. Ahmadi, J. Mehrkens, J. d. S. Cunha, J.-C. Houde, C. Vollmar, K. Bötzel, and M. Descoteaux. “The role of the pallidothalamic fibre tracts in deep brain stimulation for dystonia: A diffusion MRI tractography study.” Human Brain Mapping, 38 (3) , 2017.

R. Butler, G. Gilbert, M. Descoteaux, P.-M. Bernier, and K. Whittingstall. “Application of polymer sensitive MRI sequence to localization of EEG electrodes.” Journal of Neuroscience Methods, . 2016.

Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. “Dipy, a library for the analysis of diffusion MRI data.” Frontiers in Neuroinformatics, 1-18, 2014.

Girard, G., K. Whittingstall, R. Deriche, and M. Descoteaux. “Towards quantitative connectivity analysis: reducing tractography biases.” NeuroImage, 2014.

Whittingstall, K., M. Bernier, J-C. Houde, D. Fortin, and M. Descoteaux. “Structural network underlying visuospatial imagery in humans.” Cortex, 2014.

Chamberland, M., K. Whittinstall, D. Fortin, M. Dumont, and M. Descoteaux. “Real-time multi-peak tractography for instantaneous connectivity display.” Frontiers in Neuroinformatics, Methods article, 8 (59): 1-15, 2014.

Vigneau-Roy, N., M. Bernier, M. Descoteaux, and K. Whittingstall. “Regional variations in vascular density correlate with resting-state and task-evoked BOLD signal amplitude.” Human Brain Mapping, 2014.

Fortin, D., C. Aubin-Lemay, A. Boré, G. Girard, J-C. Houde, K. Whittingstall, and M. Descoteaux. “Tractography in the study of the human brain : a neurosurgical perspective.” Canadian Journal of Neurosurgical Sciences (CJNS), 39 (6): 747-756, 2012.

Delmaire, C., M. Vidailhet, D. Wassermann, M. Descoteaux, R. Valabregue, F. Bourdin, C. Lenglet, S. Sangla, A. Terrier, R. Deriche, and S. Lehéricy. “Diffusion Abnormalities in the Primary Sensorimotor Pathways in Writer’s Cramp.” Archives of Neurology, 66 (4): 502-508, 2009.

Descoteaux, M., R. Deriche, T. Knosche, and A. Anwander. “Deterministic and probabilistic tractography based on complex fibre orientation distributions.” IEEE transactions on medical imaging, 28, 269-286, 2009.

Cohen-Adad, J., M. Descoteaux, S. Rossignol, R. Hoge, R. Deriche, and H. Benali. “Detection of multiple pathways in the spinal cord using q-ball imaging.” NeuroImage, 42 (2): 739-749, 2008.


Publications from collaborators and Video & Image Theory and Analytics Laboratory (VITAL)

B.N. Kim, J.Dolz, P-M. Jodoin, C.Desrosiers
Privacy-Net: An Adversarial Approach forIdentity-ObfuscatedSegmentation of Medical Images
submitted to IEEE Trans. on Medical Imaging (2020)

N.Painchaud, Y.Skandarani, T.Judge, O.Bernard, A.Lalande, P-M. Jodoin
Cardiac Segmentation with Strong Anatomical Guarantees
in press at IEEE Trans. on Medical Imaging, 2020

S. Leclerc, E. Smistad, A. Østvik, F. Cervenansky, F. Espinosa, T. Espeland, E. A. R. Berg, T. Grenier, C. Lartizien, P.-M. Jodoin, L. Lovstakken, and O. Bernard (2020)
Lu-net: A multi-task network to improve the robustness of deep learning segmentation in 2d echocardiography
in press at IEEE trans. on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC)

P. Poulin, D. Jörgens, P-M Jodoin, M Descoteaux., Tractography and machine learning: Current state and open challenges
Magnetic Resonance Imaging (24), p.37-48.2019.

J Z Bojorquez, P-M Jodoin, S Bricq, P. M. Walker, F Brunotte, A Lalande., Automatic classification of tissues on prostate MRI based on relaxation times and support vector machine, PLOS ONE 14(2): e0211944, 2019.

S. Leclerc, E Smistad, J Pedrosa, A Ostvik, F Espinosa, T. Espeland, E.A. Rye Berg, P-M. Jodoin, T. Grenier, C. Lartizien, J. D’hooge, L. Lovstakken, O. Bernard., Deep convolutional network for 2-D echocardiographic segmentation based on an open large-scale patient database, in press at IEEE transactions on Medical Imaging. 2019

C. Zotti, Z. Luo, A. Lalande, P-M Jodoin., Convolutional Neural Network with Shape Prior Applied to Cardiac MRI Segmentation
IEEE Journal of Biomedical and Health Informatics, 23(3), p.1119-1128. 2019

Z. Luo, F.B.Charron, C.Lemaire, J.Konrad, S.Li, A.Mishra, A. Achkar, J. Eichel, P-M Jodoin., MIO-TCD: A new benchmark dataset for vehicle classification and localization. IEEE Transactions on Image Processing, 27(10), p. 5129-5141. 2018

O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P.-A. Heng, I. Cetin, K. Lekadir, O. Camara, M.A. Gonzalez-Ballester, G. Sanroma, S. Napel, S. Petersen, G. Tziritas, E. Grinias, M. Khened, V.A. Kollerathu, G. Krishnamurthi, M.-M. Rohé, X. Pennec, M. Sermesant, F. Isensee, P. Jager, K.H. Maier-Hein, C.F. Baumgartner, L.M. Koch, J.M. Wolterink, I. Isgum, Y. Jang, Y. Hong, J. Patravali, S. Jain, O. Humbert, P-M Jodoin.,
Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved? IEEE transactions on Medical Imaging, 37(11), p.2514-2525. 2018

S. Obaid, A. Tucholka, J. Ghaziri, P-M Jodoin, F Morency, M Descoteaux, A Bouthillier, D. K. Nguyen., Cortical thickness analysis in operculo-insular epilepsy. Neuroimage Clinical, 19, p.727-733. 2018

Luo Z, Jodoin P-M, Su S-Z, Li S, Larochelle H., Traffic Analytics with Low Frame Rate Videos. IEEE Transactions on Circuits and Systems for Video Technology, 28(4) p.878-891. 2018

Cousineau M., Jodoin P-M, Morency F., Rozanski V., Grand’Maison M., Bedell B.J., Descoteaux M., A Test-Retest Study on Parkinson’s PPMI Dataset Yields Statistically Significant White Matter Fascicles. NeuroImage: Clinical, 16, p.222-233. 2017

Jodoin P-M, Maddaelena L., Petrosino A., Wang Y., Extensive Benchmark and Survey of Background Modeling Methods
IEEE Transactions on Image Processing, 26(11), p.5244-5256. 2017

Bernier M., Jodoin P-M, Humbert O., Lalande A., Graph Cut-Based Method for Segmenting the Left Ventricle from MRI or Echocardiographic Images. Computerized medical imaging and graphics, 58, p.1-12. 2017

Havaei M., Davy A., Warde-Farley D., Biard A., Courville A., Bengio Y., Pal C., Jodoin P-M, Larochelle H., Brain Tumor Segmentation with Deep Neural Networks. Medical Image Analysis, Vol 35, 18-31. 2017

Maier O. et al., SLES 2015 – A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, Vol 35, 250-269. 2017

Wang Y., Piérard S., Su S-Z., Jodoin P-M., Improving pedestrian detection using motion-guided filtering. Pattern Recognition Letters, 96, p.106-112, ISSN 0167-8655. 2017

Wang Y, Luo Z., Jodoin P-M., Interactive Deep Learning Method for Segmenting Moving Objects. Pattern Recognition Letters, 96, p.66-75, ISSN 0167-8655. 2017

Castanon G, Elgharib M-A, Saligrama V, Jodoin P-M., Retrieval in Long Surveillance Videos using User-Described Motion & Object Attributes. IEEE Transactions on Circuits and Systems for Video Technology, 26(12):2313 – 2327. 2016

Havaei M., Larochelle H., Poulin P., Jodoin P-M., Within-Brain Classification for Brain Tumor Segmentation
International Journal of Computer Assisted Radiology and Surgery, 11(5):777-788. 2016

Bernard O. et al., Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Transactions on Medical Imaging, 35(4), p.967-977. 2016

Geng L-C, Jodoin P-M, Su S-Z., Li S.Z., CBDF: Compressed Binary Discriminative Feature. Neurocomputing, 184(5) 43-54. 2016

Zhang D., Jodoin P-M, Li C., Cai G, Wu Y., Novel Graph cuts Method for Multi-Frame Super Resolution
IEEE Signal Processing Letters. 22(12), 2279-2283.2015

Jodoin P-M, Pinheiro F., Oudot F., Lalande A., Left-Ventricle Segmentation of SPECT Images of Rats. IEEE Transactions on Biomedical Engineering, Volume: 62, Issue: 9, p.2260 – 2268. 2015

Presseau C., Jodoin P-M, Descoteaux M., A New Compression Format for Fiber Tracking Datasets. NeuroImage, 109(1), Pages 73-83. 2015

Boisvert J, Drouin M-A., Jodoin P-M., High-speed Transition Patterns for Video Projection, 3D Reconstruction, and Copyright Protection
Pattern Recognition, 48(3), p.720-731. 2015

Goyette N, Jodoin P-M, Porikli F, Konrad J, Ishwar P., Novel Dataset for Change Detection Benchmarking. IEEE Transactions on Image Processing, 23(11), p.4663-4679. 2014

Cai G, Jodoin P-M, Li S., Wu Y-D, Su S-Z, Huang Z-K., Perspective SIFT: an efficient tool for low altitude remote sensing image registration
Signal Processing,93(11): 3088-3110. 2013

Jodoin P-M., Saligrama V., Konrad J., Behavior Subtraction. IEEE Transactions on Image Processing, 21(9),pp.4244-4255. 2012

Adam-Duquette A., Jodoin P-M, Bouchot O., and Lalande A., 3D segmentation of abdominal aorta from CT-scan and MR images.
Computerized Medical Imaging and Graphics, 36(4), pp 294-303. 2012

Drouin M-A., Jodoin P-M., and Prémont J., Camera-Projector Matching using Unstructured Video. Machine Vision and Applications, 23(5), pp 887-902. 2012

Caron A., Jodoin P-M., Image Multi-Distortion Estimation. IEEE Transactions on Image Processing,20(12), pp.3442 – 3454. 2011

Benezeth Y., Jodoin P-M, and Saligrama V., Abnormality Detection Using Low-Level Co-occurring Events. Pattern Recognition Letters, 32(3) pp. 423-431. 2011

Ermis E. B., Clarot P., Jodoin P-M, and Saligrama V., Activity Matching in Distributed Camera Networks. IEEE Transactions on Image Processing,19(10), pp.2595 – 2613. 2010

Saligrama V., Konrad J., and Jodoin P-M., A Statistical Approach to Video Anomaly Identification. IEEE Signal Processing Magazine, 27(5), pp.18-33. 2010

Benezeth Y., Jodoin P.M., Emile B., Laurent H. and Rosenberger C., Comparative Study of Background Subtraction Algorithms. Journal of Electronic Imaging 19(3), pp.1-12. 2010

McHugh M., Konrad J., Saligrama V., and Jodoin P-M., Foreground-Adaptive Background Subtraction. IEEE Signal Process. Lett., vol. 16, pp. 390-393. 2009

Jodoin P-M, Mignotte M., Optical-Flow Based on an Edge-Avoidance Procedure. Computer Vision and Image Understanding, 113 (4) pp. 511-53. 2009

Jodoin P-M, Mignotte M and Rosenberger C., Segmentation Framework Based on a Label Field Fusion. IEEE Transactions on Image Processing, 16(10), p.2535-2550. 2007

Jodoin P-M, Mignotte M and Konrad J., Statistical Background Subtraction Methods Using Spatial Cues. IEEE Transactions on Circuits and Systems for Video Technology. 2007

Jodoin P-M, Mignotte M., Markovian Segmentation et Parameter Estimation on Graphics Hardware. Journal of Electrical Imaging, 15(3), 330-345. 2006

Ostromoukhov V., Donohue C. and Jodoin P-M., Fast Hierarchical Importance Sampling with Blue Noise Properties. SIGGRAPH, 23(3), 488-495.2004


Other publications of interest


Gilberto Rojas-Vite, Ricardo Coronado-Leija, Omar Narvaez-Delgado, Alonso Ramírez-Manzanares, José Luis Marroquín, Ramsés Noguez-Imm, Marcos L. Aranda, Benoit Scherrer, Jorge Larriva-Sahd, Luis Concha, Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration, NeuroImage Volume 201, 1 November 2019, 116013.

Fang Ji, Ofer Pasternak, Siwei Liu, Yng Miin Loke, Boon Linn Choo, Saima Hilal, Xin Xu, Mohammad Kamran Ikram, Narayanaswamy Venketasubramanian, Christopher Li-Hsian Chen & Juan Zhou, Distinct white matter microstructural abnormalities and extracellular water increases relate to cognitive impairment in Alzheimer’s disease with and without cerebrovascular disease, Alzheimer’s Research & Therapy, volume 9, 63. 2017.

Pasternak,O., C-F. Westin, S. Bouix, L.J. Seidman, J. M. Goldstein, T-U. W. Woo, T. L. Petryshen, R. I. Mesholam-Gately, R. W. McCarley, R. Kikinis, M. E. Shenton, and M. Kubicki1. “Excessive Extracellular Volume Reveals a Neurodegenerative Pattern in Schizophrenia Onset”, The Journal of Neuroscience, 32(48): 17365–17372. 2012.

Pasternak, O., N. Sochen, Y. Gur, N. Intrator, Y. Assaf, “Free water elimination and mapping from diffusion MRI.” Magnetic Resonance in Medicine, 62, 717–730. 2009.