Peer reviewed publications (journals and book chapters):

  1. Villar-Valero J, Rodriguez-Padilla JJ, Ly B, Pop M, Trenor B, Sermesant M; A novel MRI-based electrophysiological computational model of progressive doxorubicin-induced fibrosis in the left ventricle; accepted (12 pages) to be published in Lecture Notes in Computer Science (Springer)
  2. Krahn P, Escartin T, Singh S, Barry J, Larsen M, Guo F, Pop M, Wright G; MRI accurately visualizes RF ablation delivery targeted to MRI-defined arrhythmia substrates in the left ventricle; IEEE Transactions on Biomedical Eng, 2024, September, 71 (9):2749-2758 (Feature Article)
  3. Mojica M, Pop M, Ebrahimi M; Hybrid landmark- and intensity-based image registration (submitted)
  4. Escartin T, Krahn P, Yu C, Ng M, Barry J, Singh S, Wright G, Pop M; The extent of LGE-defined fibrosis predicts ventricular arrhythmia severity: insights from a preclinical model of chronic infarction; Lecture Notes in Computer Science (Springer); 13958, pp. 698-707, 2023 [link]
  5. Kashtanova V, Pop M, Ayed I, Gallinari P, Sermesant M; Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning; Interface Focus (Royal Society), special issue December issue (6); vol 13: 20230043, 14 pages, 2023
  6. Cedilnik N, Pop M, Sacher F, Jais P, Cochet H, Sermesant M; Patient-specific simulations of ventricular tachycardia based on computer tomography CT-defined wall thickness; accepted to JACC Clinical Electrophysiology, 9 (12), pp. 2507–2519, 2023
  7. Bouffard A, Pop M, Ebrahimi M; Multi-step reinforcement learning for medical image super-resolution; Journal of Medical Imaging (SPIE), Image Processing, 124641-Y, April 2023
  8. Linte C and Pop M; Special Issue on "Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy" (editors forward) - Applied Sciences journal, 13(2), 984, January 2023 [link]
  9. Kashtanova V, Pop M, Ayed I, Gallinari P, Sermesant M; APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics; Lecture Notes in Computer Science (Springer); 13593, pp. 190-199, 2023
  10. Ly B, Pop M, Cochet H, Duchateau N, O'Regan D, Sermesant M; invited book chapter "Outcome predictions" in: "Artificial Intelligence and Big Data for Cardiology: a practical guide" book, editors A King & N Duchateau, Springer, pp. 105-133, 2023
  11. Lin P, Escartin T, Larsen M, Ng M, Li M, Barry J, Roifman I, Pop M; MR Imaging and Electrophysiological Features of Doxorubicin-Induced Fibrosis: Protocol Development in a Small Preclinical Pig Study with Histological Validation; Applied Sciences journal, 12 (22), 11620, 2022 [link]
  12. Narang A, Raj A, Pop M, Ebrahimi M; Deep Learning-Based MR Image Re-parameterization; preprint arXiv:2206.05516, 2022
  13. Krahn PRP, Biswas L, Ferguson S, Ramanan V, Barry J, Singh SM, Pop M, Wright G; MRI-Guided cardiac RF ablation for comparing MRI characteristics of acute lesions and associated electrophysiologic voltage reductions; IEEE Transactions on Biomedical Engineering 69 (8), 2657-2666, 2022
  14. Lin P, Escartin T, Ng M, Li M, Larsen M, Barry J, Roifman I, Pop M; Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study; Lecture Notes in Computer Science (Springer), Volume 13131, pages 29-37, January 2022
  15. Mojica M, Pop M, Ebrahimi M; Medical image alignment based on landmark-and approximate contour-matching; Journal of Medical Imaging (SPIE), vol 8, issue 6, 064003 (pages 1-13), November 2021 [link]
  16. Eötvös CA, Lazar RD, Zehan IG, Lévay-Hail EB, Pastiu G, Pop M, Bojan AS, Pop S, Blendea D; Cardiac Amyloidosis with Discordant QRS Voltage between Frontal and Precordial Leads; Medicina, 57 (7), 660, 8 pages, 2021
  17. Mojica M, Pop M, Sermesant M, Ebrahimi M; Novel atlas of fiber directions from high resolution ex vivo diffusion tensor images of porcine hearts; Computer Methods and Programs in Biomedicine journal, vol 187, 105200, April 2020 [link]
  18. Lin P, Martel AL, Camilleri-Newbigging S, Pop M; Co-registered cardiac ex vivo DT images and histological images for fibrosis quantification; Lecture Notes in Computer Science (Springer), vol 12009, pages 3-11, 2020 [link]
  19. Zhang L, Peng L, Roifman I, Pop M, Wright G; Multi-contrast volumetric imaging with isotropic resolution for assessing infarct heterogeneity: initial clinical experience; NMR in Biomedicine, vol 33, issue 12: e4253, Dec 2020 (DOI: 10.1002/nmb4253)
  20. Li M, Sermesant M, Ferguson S, Guo F, Barry J, Qi X, Lin P, Ng M, Wright G, Pop M; Pipeline to build and test robust 3D T1 mapping-based predictive heart models for EP interventions: preliminary results; Lecture Notes in Computer Science (Springer) vol 11504, pp 64-72, 2019 [link]
  21. Pearce-Lance J, Pop M, Bourgault Y; A numerical method for the optimal adjustment of parameters in ionic models accounting for restitution properties; Lecture Notes in Computer Science (Springer) vol 11504, pp 46-54, 2019
  22. Mojica M, Pop M, Sermesant M, Ebrahimi M; Constructing an average geometry and diffusion tensor DT magnetic resonance field from freshly explanted porcine hearts; Journal of Medical imaging (SPIE), pp 109493C, 2019
  23. Zhang L, Lai P, Pop M, Wright G; Accelerated multi-contrast volumetric imaging with isotropic resolution for improved peri-infarction characterization using parallel imaging, low-rank and spatially varying edge-preserving sparse modeling; Magnetic Resonance in Medicine, vol 79(6), September, p:3018-3031, 2018
  24. Krahn P, Singh S, Ramanan V, Biswas L, Anderson K, Barry J, Pop M, Wright G; MR-guided ablation and intra-procedure visualization of evolving RF lesions in the left ventricle; Journal of Cardiovascular Magnetic Resonance, vol 20(1):20, 2018
  25. Li M, Sermesant M, Ferguson S, Barry J, Wright G, Pop M: Novel T1 mapping-based preclinical models for cardiac electrophysiology: a combined experimental & theoretical study; in Biophysical Journal, vol 114 (3), 472, 2018
  26. Guo F, Li M, Ng M, Wright A, Pop M; Cine and multi-contrast late enhancement MRI registration for the 3D heart model construction; Lecture Notes in Computer Science (Springer), vol 11395, pp 49-57, 2018 [link]
  27. Mojica M, Pop M, Sermesant M, Ebrahimi M; Multilevel non-parametric group wise registration in cardiac MR imaging: application to explanted pig hearts; Lecture Notes in Computer Science (Springer), vol 10663, p 60-69, 2018
  28. Campbell A, Tavallaei M, Pop M, Grant E, Chubb H, Kawal R, Wright G; Real time interventional cardio vascular MR; Journal of Magnetic Resonance Imaging; Oct; vol 46(4), p:935-950, 2017
    * Note: invited review in collaboration with NIH-USA and KCL-UK
  29. Ahmad I, Gribble A, Murtza I, Pop M, Vitkin A; Polarization image segmentation of radio-frequency RF ablated porcine myocardial tissue; PlosOne, Apr 5; 12(4): e0175173; 2017
  30. Ghugre N, Pop M, Thomas R, Newbiggins S, Qi X, Barry J, et al; Haemorrhage promotes inflammation and myocardial damage following acute infarction; Journal of Cardiovascular Magnetic Resonance, Jul 4; vol 19(1):50, 2017
  31. Goblot D, Pop M, Siddiqi K; Cartan frame for fiber direction using diffusion tensor imaging DTI in hearts with infarcts; Lecture Notes in Computer Science - Springer, Vol 10124, pp 87-85, 2017
  32. Ma L, Ebrahmi M, Jani S, Pop M; Subject-specific patch-based denoising for contrast-enhanced cardiac MR images; Journal of Medical Imaging, 97841-34R, 2016
  33. Zhang L, Athavale P, Pop M, Wright G; Multi-contrast reconstruction using compressed sensing with low rank and spatially-varying edge-preserving constraints for high-resolution MR characterization of infarction; Magnetic Resonance in Medicine, Vol 78, p598–610, Sept 2016
  34. Ahmad I, Gribble A, Ikam M, Pop M, Vitkin A; Polarimetric characterization of the healthy and RF ablated myocardial tissue; Journal of Biophotonics - July; 9(7): 750-759, 2016
  35. Ferguson S, Sermesant M, Oduneye S, Giffard-Roisin S, Truong MVT, Ayache N, Wright G, Pop M; Novel framework to augment real-time MR-guided EP study with T1 mapping-based 3D heart models; in Lecture Notes in Computer Science - Springer, Vol 10124, p 9-19, 2017
  36. Roifman I, Ghugre N, Zia M, Zavodni A, Pop M, Connelly K, Wright G: Assessment of the longitudinal changes in infarct heterogeneity; BMC - Cardiovascular disorders, October 14; Vol 16(1): 198, 2016
  37. Truong MV, Liu A, Penney GP, Pop M, Rhode K; Novel looped-catheter-based 2D-3D registration for MR, 3DRx and X-ray images; Lecture Notes in Computer Science - Springer, vol 10124, 152-162, 2016
  38. Xu R, Athavale P, Krahn P, Biswas L, et al, Pop M, Wright G; Feasibility study of respiratory motion modelling based correction for MR image-guided intracardiac electrophysiology procedures; IEEE Transactions on Biomedical Engineering, Dec; 62 (12): 2899-910, 2015
  39. Siu A, Ramadeen A, Morikawa L, Liu G, Zhang L, Lau J, Pop M, Conelly K, Dorian P, Wright G; Characterization of the ultra-short echo time (UTE) MR collagen signal associated with myocardial fibrosis; NMR in Biomedicine, Oct 28 (10) 1236-1244, 2015
  40. Oduneye S, Pop M, Shurrab M, Biswas L, Crystal E, Wright G: Distribution of abnormal potentials as characterized by real-time MR-guided electrophysiology system; Journal of Cardiovascular Magnetic Resonance, April 11; 17:27, 2015
  41. Pop M, Ramanan V, Yang F, Zhang L, Newbigging S, Wright G: High resolution 3D T1* mapping and quantitative image analysis of the ‘gray zone’ in chronic fibrosis; IEEE Transactions on Biomedical Engineering, December, 61 (12): 2930-2938, 2014
    *Note -- Featured article and Figure selected on the Journal's Cover page
  42. Oduneye S, Pop M, Biswas L, Ghate S, Flor R, Ramanan V, Barry J, Celik H, Crystal E, Wright GA: Post-infarction VT substrate characterization - a comparison between late enhacement MR imaging and voltage mapping using a MR-guided EP system IEEE Trans Biomed Eng; 60 (9): 2442-2449, 2014
  43. Rapaka S, Mansi T, Georgescu B, Pop M, Kamen A, Comaniciu D; Lattice-Boltzmann method for fast cardiac electrophysiology simulation from 3D Images - Lecture Notes in Computer Science – Springer, vol 15 (Pt 2): p33-40, (in Pubmed), 2013
  44. Pop M, Ramanan V, Ghugre N, Morikawa L, Stanisz G, Dick AJ, Wright G: Quantification of fibrosis in infarcted swine hearts by ex vivo late gadolinium enhancement and diffusion-weighted MR methods Physics in Medicine and Biology, 58 (15): 5009-5028, 2013
    *Note: Featured article. Also advertised on the Institute of Physics website (medicalphysicsweb.org)
  45. Ghugre N, Pop M, Barry J, Connelly KC, Wright G: Quantitative MR can distinguish remodelling mecha-nisms after acute myocardial infarction based on severity of ischemic insult; Magnetic Resonance in Medicine, Vol 70, 1095-1105, 2013
    *Note: Figure selected for the Journal's Cover Page
  46. Pop M, Sermesant M, Liu G, Relan J, et al: Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical imaging to characterize the action potential propagation; Medical Image Analysis, Feb; 16(2): 505-23, 2012
  47. Pop M, Oduneye S, Shokrolahi E, Barry J, Ghate S, et al; A pre-clinical framework to characterize peri-infarct remodelling using in vivo T1 maps & CARTO data; in Lecture Notes in Computer Science series - Springer, Vol 7746, pages 326-335, 2012
  48. Relan J, Pop M, Delingette H, Wright GA, Ayache N, Sermesant M: Personalization of cardiac electro-physiology model using optical mapping and MR imaging for the predictions of changes with pacing; in IEEE - Transactions on Biomedical Engineering; Dec, 58 (12): 3339-3349, 2011
    *Note: Figure selected for the Journal's Cover Page
  49. Pop M, Sermesant M, Flor R, Pierre C, Mansi T, Coudiere Y, et al; In vivo contact EP data and ex vivo MR-based computer models: registration and model-dependent errors; in Lecture Notes in Computer Science series - Springer, Vol 7746, pages 364-374, 2011
  50. Ghugre NR, Ramanan V, Pop M, Yang Y, Barry J, Connelly K, et al: Myocardial BOLD imaging at 3T using quantitative T2: application in a myocardial infarction model; Magnetic resonance in Medicine, Dec, 66 (6), 1739-1747, 2011
  51. Pop M, Sermesant M, Mansi T, Ghate S, Peyrat J, Lashevsky I, McVeigh ER, Ayache N, Wright GA: Correspondence between simple 3D MR image-based heart models and in-vivo EP measures in swine with chronic infarction; IEEE Trans Biomed Eng, Dec, 58 (12), p 3483-3486, 2011
    *Note: Special Issue Multi-scale Modelling & Analysis for Computational Biology & Medicine
  52. Pop M, Sermesant M, et al; EP challenge - Forward approaches to computational electrophysiology using MR image-based models; in Lecture Notes in Computer Science – Springer, Vol 7085, p1-13, 2011
  53. Camara O, Sermesant M, Lamata P, Pop M, Relan J, Wang L, Delingette H, Frangi A, Smith N, et al: Consistency and complementarities of cardiac EP models with optical mapping data of ex vivo porcine hearts Progress in Biophysics and Molecular Biology, Oct 107(1), p122-133, 2011
    *Note: Special Issue Experimental and Computational Model Interactions in Bio-Research
  54. Pop M, Sermesant M, Peyrat J-M, et al, McVeigh ER, Ayache N, Wright G: A 3D MRI-based computer model to study arrhythmia and its in vivo experimental validation; special issue ‘Functional imaging and modelling of the heart’, Lecture Notes in Computer Science - Springer, Vol 6666, pp 195-205, 2011
  55. Ghugre N, Ramanan V, Pop M, Barry J, Conelly K, Dick AJ, Wright G: Quantitative tracking of edema, hemorrhage and microvascular obstruction after acute infarct by MR imaging; Magnetic Resonance in Medicine, Oct, vol 66(4), 1129-1141, 2011
  56. Relan J, Pop M, Delingete H, Ayache N, Sermesant M: Estimation of reaction-diffusion and restitution parameters for a 3D model using optical mapping & MRI; Lecture Notes in Computer Science - Springer, Vol 6364, p 270-280, 2011
  57. Pop M, Sermesant M, Peyrat JM, et al; Anatomic reentries: insights from a parametric study on a 3D wedge; Int J Bioelectromagnetism, Vol 12 (3): 133-151, 2010
    *Note: Special Issue Advanced Biosignal Interpretation
  58. Wallenberg M, Pop M, Wood MG, Gosh N, Wright G, Vitkin AI: Comparison of optical polarimetry and diffusion tensor MR imaging to assess myocardial anisotropy; in Journal of Innovative Optical Health Sciences (JIOHS), Vol 3 (2): 109-121, 2010
  59. Pop M, Davidson S, Gertner M, Jewett M, Sherar MD, Kolios MC: A theoretical model for RF ablation of kidney tissue and its experimental validation; in Lecture Notes in Computer Science – Springer, Volume 5958, p 119-129, 2010
  60. Pop M, Sermesant M, Lepiler D, Soong A, Crystal E, McVeigh ER, Ayache N, Wright G; Fusion of optical and MRI for evaluation of macroscopic cardiac computer models: a feasibility study; Medical Image Analysis, Vol. 13 (2): 370-380, 2009
    *Note: Special Issue Functional Imaging and Modelling of the Heart (invited article)
  61. Relan J, Sermesant M, Pop M, Delingette H, Ayache N: Volumetric prediction of cardiac EP using heart models personalized to surface data: Cardiovascular interventional and biophysical modelling CI2BM’01 (contributed book chapter), London (UK), pages 19-27, 2009
  62. Pop M, Sermesant M, Mansi T, Crystal E, Fefer P, McVeigh E, Dick A, Ayache N, Wright G: Chara-cterization of post-infarct scars in porcine models: a combined experimental and theoretical study; Lecture Notes in Computer Science (Springer) Vol 4445; p 1-10 , 2009
    *Note Best paper award – from the "Virtual Physiological Human Network of Excellence"
  63. Munce NR, Mariampilai A, Standish B, Pop M, Andreson K, et al, Vitkin A, Yang V: Electrostatic forward-viewing scanning probe for Doppler Optical CT; Optics Letters; 33, (7): 657-659, 2008
  64. Lepiller D, Sermesant M, Pop M, et al, Ayache N: Cardiac electrophysiology model adjustment using MR and optical imaging; in Lecture Notes Computer Science - Springer, Vol 5241; p 678-685, 2008 (in Pubmed)
  65. Nanthakumar K, Jalife J, Massé S, Downar E, Pop M, et al: Optical mapping of Langendorff-perfused human hearts: establishing a model for the study of ventricular fibrillation in humans; Am J Physiol - Heart Circ Physiol, 293 (1): H875-880, 2007
  66. Brzozowski L, Ganguly A, Pop M, WenZ, Benett R, Fahrig R, Rowlands J: Compatibility of interventional X-ray and MRI: feasibility of a closed bore XMR system; Medical Physics, Aug (8): 3033- 3045, 2006
  67. Pop M, Molckovsky A, Chin L, Kolios MC, Jewett MA, Sherar MD: Changes in dielectric properties at 460 kHz of kidney and fat during heating: importance for radio-frequency thermal therapy; Physics in Medicine and Biology, vol 48 (15): 2509-2525, 2003
  68. Chin L, Pop M, Whelan W, Sherar MD, Vitkin AI: Optical monitoring of interstitial thermal therapy; Review Scientific Instrumentation, vol 74, p 393-395, 2003.
  69. Pop M, Cosma-Cachita D, Bica D, Tarca A, Tripsa M: Magneto-liposomes obtained from lecithin and Fe3O4 nanoparticles; Romanian J of Physiology, 36 (3-4) 233-236; 1999 (in Pubmed).