Journals

  • [iScience 2024] U.M. Lal-Trehan Estrada, A. Oliver, S.A. Sheth, X.Lladó, and L. Giancardo. "Strategies to combine 3D vasculature and brain CTA with deep neural networks: application to LVO". iScience, 27(2), 108881, 2024 [JCR MS IF 5.8, Q1(22/134)] (pdf)
     
  • [JMRI 2023] Ll.Coll, D.Pareto, P.Carbonell-Mirabent, Á.Cobo-Calvo, G.Arrambide, A.Vidal-Jordana, M.Comabella, J.Castilló, B.Rodríguez-Acebedo, A.Zabalza, I.Galán, L.Midaglia, C.Nos, C.Auger, M.Alberich, J.Río, J.Sastre-Garriga, A.Oliver, X.Montalban, À.Rovira, M.Tintoré, X.Lladó, and C.Tur. "Global and regional deep learning models for multiple sclerosis stratification from MRI". Journal of Magnetic Resonance Imaging, To appear. [JCR N IF 4.4, Q1(31/135)] (pdf)
     
  • [NI-CL 2023] Ll.Coll, D.Pareto, P.Carbonell-Mirabent, Á.Cobo-Calvo, G.Arrambide, A.Vidal-Jordana, M.Comabella, J.Castilló, B.Rodríguez-Acebedo, A.Zabalza, I.Galán, L.Midaglia, C.Nos, A.Salerno, C.Auger, M.Alberich, J.Río, J.Sastre-Garriga, A.Oliver, X.Montalban, À.Rovira, M.Tintoré, X.Lladó, and C.Tur. "Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI". NeuroImage: Clinical, 38, art 103376, 2023. [JCR N IF 4.891, Q2(5/14)] (pdf)
     
  • [CMIG 2023] A. Clèrigues, S. Valverde, J. Salvi, A. Oliver, X. Lladó. "Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry". Computerized Medical Imaging and Graphics, vol 103, pp. 102157, 2023. [JCR RNMMI IF 7.422, Q1(14/314)] (pdf)
     
  • [MVAP 2023] M. Habib, Y. Diez, A. Oliver, J. Salvi and X. Lladó "Motion-Region Annotation for Complex Videos Via Label Propagation Across Occluders". Machine Vision and Applications, 34, 2, 20232022. [JCR EEE IF 2.983, Q2(121/276)] (pdf)
     
  • [FNINS 2022] M. Salem, M. A. Ryan, A. Oliver, K. F. Hussain and X. Lladó "Improving the detection of new lesion in multiple sclerosis with a cascaded 3D fully convolutional neural network approach". Frontiers in Neuroscience, Brain Imaging Methods, 24, 2022. [JCR N IF 5.152, Q2(87/274)] (pdf)
     
  • [FNINS 2022] L. València, A. Clèrigues, S. Valverde, A. Oliver, À. Rovira and X. Lladó "Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis". Frontiers in Neuroscience, Brain Imaging Methods, 29, 2022. [JCR N IF 5.152, Q2(87/274)] (pdf)
     
  • [LMS 2022] J. Puig, R. Martí, X. Lladó, M-I. Corral-Baqués, S. Sendrós-Tolsau. "Structural changes in subcutaneous and visceral abdominal fatty tissue induced by local application of 448 kHz capacitive resistive monopolar radiofrequency: a magnetic resonance imaging case study". Lasers in Medical Science, 4 July 2022. [JCR S IF 2.557, Q2(100/211)] (pdf)
     
  • [MELBA 2022] R. Mehta, et al. "QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results". Journal of Machine Learning for Biomedical Imaging. 2022:026, pp1-54. August 2022. (pdf)
     
  • [MS 2022] A. Rovira, J.F. Corral, , C. Auger, S. Valverde, A. Vidal-Jordana, A. Oliver, A. Barros, K. Ng Wong, M. Tintore, F.X. Aymerich, X. Montalban, X. Lladó, J. Alonso. "Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients". Multiple Sclerosis, Jul:28(8):1209-1218, 2022. [JCR CN IF:5.885 Q1(40/212)] (pdf)
     
  • [JMRI 2021] S. Valverde, L. Valencia, Ll. Coll, A. Clèrigues, A. Oliver, J. C. Vilanova, Ll. Ramió-Torrentà, À. Rovira, X. Lladó."Assessing the accuracy and reproducibility of PARIETAL: a deep learning brain extraction algorithm". Journal of Magnetic Resonance Imaging, June. 2021. [JCR N IF 5.119, Q1(33/136)] (pdf)
     
  • [JMRI 2021] S. Valverde, L. Valencia, Ll. Coll, A. Clèrigues, A. Oliver, J. C. Vilanova, Ll. Ramió-Torrentà, À. Rovira, X. Lladó."Assessing the accuracy and reproducibility of PARIETAL: a deep learning brain extraction algorithm". Journal of Magnetic Resonance Imaging, To appear. 2021. [JCR N IF 4.813, Q1(26/134)] (pdf)
     
  • [CMIG 2021] V. Abramova, A. Clèrigues, A. Quiles, D. García Figueredo, Y. Silva, S. Pedraza, A. Oliver, X. Lladó. "Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks". Computerized Medical Imaging and Graphics, vol 90, pp. 101908, 2021. [JCR RNMMI IF 4.790, Q1(27/314)] (pdf)
     
  • [FNINS 2021] K. Kushibar, M. Salem, S. Valverde, À. Rovira, J. Salvi, A. Oliver, and X. Lladó "Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation". Frontiers in Neuroscience, to appear. 2021. [JCR N IF 4.677, Q2(87/272)] (pdf)
     
  • [NINF 2021] J.Bernal, S.Valverde, K.Kushibar, M.Cabezas, A.Oliver, and X.Lladó, and the Alzheimer's Disease Neuroimaging Initiative. "Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images". Neuroinformatics, 19(3), pp 477-492, 2021. [JCR CSIA IF 4,085, Q2(38/112)] (pdf)
     
  • [MAGMA 2021] J. Alonso, D. Pareto, M. Alberich, T. Kober, B. Maréchal, X. Lladó and À. Rovira. "Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software". Magnetic Resonance Materials in Physics, Biology and Medicine, To appear. 2021. [JCR N IF 2.310, Q3(90/134)] (pdf)
     
  • [ASc 2021] E.E.Carvajal-Camelo, J.Bernal, A.Oliver, X.Lladó, M.Trujillo, and the Alzheimer's Disease Neuroimaging Initiative. "Evaluating the effect of intensity standardisation on longitudinal whole brain atrophy quantification ion brain magnetic resonance images". Applied Sciences, Applied Biosciences and Bioengineering, 11(4), art 1773, 2021. [JCR EM IF 2.679, Q2(38/291)] (pdf)
     
  • [NI-CL 2020] S. González-Villà, A. Oliver, Y. Huo, X. Lladó, and B.A. Landman. "A fully automated pipeline for brain structure segmentation in multiple sclerosis". NeuroImage: Clinical, 27, art 102306, 2020. [JCR N IF 3.881, Q2(4/14)] (pdf)
     
  • [CMPB 2020] A.Clèrigues, S. Valverde; J.Bernal; J. Freixenet; A. Oliver; Lladó. "Acute and sub-acute stroke lesion segmentation from multimodal MRI". Computer Methods and Programs in Biomedicine , 194, art 105521, 2020. [JCR CSTM IF 5.428, Q1(13/110)] (pdf)
     
  • [MAGMA 2020] J. Alonso, D. Pareto, M. Alberich, T. Kober, B. Maréchal, X. Lladó and À. Rovira. "Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods. Magnetic Resonance Materials in Physics, Biology and Medicine, 33, pp. 757-767, 2020. [JCR N IF 2.310, Q3(90/134)] (pdf)
     
  • [NI-CL 2020] M. Salem, S. Valverde, M. Cabezas, D. Pareto, A. Oliver, J. Salvi, À. Rovira, and X. Lladó. "A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis". NeuroImage: Clinical, Volume 25, 102149, 2020. [JCR N IF 4.881, Q2(4/14)] (pdf)
     
  • [NI-CL 2020] M. Rakic, M. Cabezas, K. Kushibar, A. Oliver, X. Lladó. "Improving the Detection of Autism Spectrum Disorder by Combining Structural and Functional MRI Information". To appear. NeuroImage: Clinical, 2020. [JCR N IF 4.881, Q2(4/14)] (pdf)
     
  • [IEEE ACCESS 2019] J. Bernal, K. Kushibar, M. Cabezas, S. Valverde, A. Oliver and X. Lladó. "Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging". IEEE Access. 7(1), pp 25171-25184 2019. [JCR CSIS IF 4.098, Q1(23/155)] (pdf)
     
  • [CBM 2019] A.Clèrigues, S. Valverde; J.Bernal; J. Freixenet; A. Oliver; X. Lladó. "Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks". Computers in Biology and Medicine. 115, art 103487, 2019. [JCR MCB IF 3.434, Q1(8/59)] (pdf)
     
  • [SREP 2019] K. Kushibar, S. Valverde, S. González-Villà, J. Bernal, M. Cabezas, A. Oliver, and X. Lladó. "Supervised domain adaptation for automatic sub-cortical brain structure segmentation with minimal user interaction". Nature. Scientific Reports 9:6742, 2019. [JCR MS IF 4.011, Q1(15/69)] (pdf KB)
     
  • [TMI 2019] H. Kuijf, J. Biesbroek, J. Bresser, R. Heinen, S. Andermatt, M. Bento, M. Berseth, Mi. Belyaev, M. Cardoso, A. Casamitjana, D. L. Collins, M. Dadar, A. Georgiou, M. Ghafoorian, D. Jin, A. Khademi, J. Knight, H. Li, X. Lladó, M. Luna, Q. Mahmood, R. McKinley, A. Mehrtash, S. Ourselin, B. Park, H. Park, S. Hyun Park, S. Pezold, E. Puybareau, L. Rittner, C.H. Sudre, S. Valverde, V. Vilaplana, R. Wiest, Y. Xu, Z. Xu, G. Zeng, J. Zhang, G. Zheng, C. Chen, W. Flier, F. Barkhof, M.A. Viergever, G. J. Biessels. "Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge". IEEE Trans. on Medical Imaging, 2019. [JCR CCIA IF 7.816, Q1(3/106)] (pdf)
     
  • [IEEE ACCESS 2019] M. Salem, S. Valverde, M. Cabezas, D. Pareto, A. Oliver, J. Salvi, À. Rovira, and X. Lladó. "Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET". IEEE Access. vol 7, 25171-25185, 2019. [JCR CSIS IF 4.098, Q1(23/155)] (pdf)
     
  • [NI-CL 2019] S. González-Villà, A. Oliver, Y. Huo, X. Lladó, and B.A. Landman. "Brain structure segmentation in the presence of multiple sclerosis lesions". NeuroImage: Clinical, 22, art 101709, 2019. [JCR N IF 4.350, Q2(4/14)] (pdf)
     
  • [NI-CL 2019] S. Valverde, M. Salem, M. Cabezas, D. Pareto, J. C. Vilanova, Ll. Ramió-Torrentà, À. Rovira, and J. Salvi, A. Oliver, X. Lladó. "One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks". NeuroImage: Clinical, art 101638, 2019 [JCR N IF 4.350, Q2(4/14)] (pdf)
     
  • [AIIM 2019] J. Bernal, K. Kushibar, D. Sileshi A. S. Valverde, A.Oliver, R. Marti, X. Lladó. "Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review". Artificial Intelligence in Medicine, 95, pp 64-81, 2019. [JCR MI IF:3.574 Q1(5/26)] (pdf)
  • [SREP 2018] A.Istace, et al. "Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure". Nature. Scientific Reports 8, Article number: 13650, 2018. [JCR MS IF 4.122, Q1(12/64)] (pdf KB)
     
  • [AIIM 2018] J. Bernal, K. Kushibar, D. Sileshi A. S. Valverde, A.Oliver, R. Marti, X. Lladó. "Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review". Artificial Intelligence in Medicine, 2018. [JCR CSAI IF:2.879 Q1(31/132)] (pdf)
     
  • [MIA 2018] K. Kushibar, S. Valverde, S. González-Villà, J. Bernal, M. Cabezas, A. Oliver, X. Lladó. "Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features". Medical Image Analysis, 48, pp-177-186, 2018. [JCR CSAI IF 5.356, Q1(6/105)] (pdf KB)
     
  • [NI-CL 2018] M. Salem, M. Cabezas, S. Valverde, D. Pareto, A. Oliver, J. Salvi, À. Rovira, and X. Lladó. "A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis". NeuroImage: Clinical, vol. 17C, pp. 607-615, 2018. [JCR N IF 3.869, Q1(3/14)] (pdf)
     
  • [NI-Cl 2017] S. González-Villà, S. Valverde, M. Cabezas, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, À. Rovira, A. Oliver, X. Lladó. "Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation". NeuroImage: Clinical, vol. 15., pp. 228-238, 2017. [JCR N IF 3.869, Q1(3/14)] (pdf)
     
  • [NI 2017] S. Valverde, M. Cabezas, E. Roura, S. González-Villà, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, À. Rovira, A. Oliver, and X. Lladó. "Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach". NeuroImage, vol 155, pp. 159-168, 2017. [JCR NI IF 5.426, Q1(1/14)] (pdf KB)
     
  • [MIA 2017] S. Valverde, A. Oliver, E. Roura, S. Gonzalez-Villa, D. Pareto, J.C. Vilanova, Ll. Ramio-Torrenta, A. Rovira, and X. Llado. Automated tissue segmentation of MR brain images in the presence of white matter lesions. Medical Image Analysis, 35, pp 446-457. [IF 4.565, Q1(8/130) CSAI]

  • [AIIM 2016] S. Gonzalez-Villa, A. Oliver, S. Valverde, L. Wang, R. Zwiggelaar, and X. Llado. A review on brain structures segmentation in magnetic resonance imaging. Artifical Intelligence in Medicine, vol. 73, pp 45-69, 2016. [IF 2.142, Q2(34/142) CSAI]

  • [FNINF 2016] E.Roura, N.Sarbu, A.Oliver, S.Valverde, S.Gonzalez-Villa, R.Cervera, N.Bargallo, and X.Llado. Automated detection of lupus white matter lesions in MRI images. Frontiers in Neuroinformatics, 10, art 33, 2016. [IF 3.047, Q1(6/56) MCB]

  • [AJNR 2016] M.Cabezas, J.F.Corral, A.Oliver, Y.Diez, M.Tintore, C.Auger, X.Montalban, X.Llado, D.Pareto, and A.Rovira. Improved automatic detection of new T2 lesions in multiple sclerosis using deformation fields. American Journal of Neuroradiology, 2016. [IF 3.124, Q1(24/124) RNMMI]

  • [NI-Cl 2015] S.Valverde, A.Oliver, E.Roura, D.Pareto, J.C.Vilanova, Ll.Ramio-Torrenta, J.Sastre-Garriga, X.Montalban, A.Rovira, and X.Llado. Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling. NeuroImage: Clinical, 9, pp 640-647, 2015. [IF 3.857, Q1(3/14) NI]

  • [NR 2015] E.Roura, A.Oliver, M.Cabezas, S.Valverde, D.Pareto, J.C.Vilanova, Ll.Ramió-Torrentà, A.Rovira, and X.Lladó. A toolbox for multiple sclerosis lesion segmentation. Neuroradiology, 57(10), pp 1031-1043, 2015. [IF 2.485, Q2(41/125) RNMMI]

  • [FN 2015] . Roura, T. Schneider, M. Modat, P. Daga, N. Muhlert, D. Chard, S. Ourselin, X. Lladó, C. Wheeler-Kingshott. Multi-channel registration of FA and T1w images in the presence of atrophy: application to Multiple Sclerosis. Functional Neurology, to appear..

  • [AJNR 2015] S.Valverde, A.Oliver, Y.Diez, M.Cabezas, J.C.Vilanova, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. Evaluating the effects of white matter multiple sclerosis lesions on the volume estimation of six brain tissue segmentation methods. American Journal of Neuroradiology, 36(6), pp 1109-1115, 2015. [IF 3.589, Q1(19/125) RNMMI]

  • [JMRI 2015] S.Valverde, A.Oliver, M.Cabezas, E.Roura, and X. Lladó. Comparison of ten brain tissue segmentation methods using revisited IBSR annotations. Journal of Magnetic Resonance Imaging, 41(1), pp 93-101, 2015. [IF 3.210, Q1(23/125) RNMMI]

  • [JNM 2014] M.Cabezas, A.Oliver, S.Valverde, B.Beltran, J.Freixenet, J.C.Vilanova, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. BOOST: a supervised approach for multiple sclerosis lesion segmentation. Journal of Neuroscience Methods, 237, pp 108-117, 2014. [IF 2.025, Q3(174/252) N]

  • [NI-Cl 2014] S.Valverde, A.Oliver, X. Lladó. A white matter lesion-filling approach to improve brain tissue volume measurements. NeuroImage: Clinical, 6, pp 86-92, 2014. [IF 2.526, Q2(6/14) NI]

  • [NINF 2014] Y.Diez, A.Oliver, M.Cabezas, S.Valverde, R.Martí, J.C.Vilanova, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients. Neuroinformatics, 12(3), pp 365-379, 2014. [IF 2.825, Q1(13/102) CSIA]

  • [CMPB 2014] M.Cabezas, A.Oliver, E.Roura, J.Freixenet, J.C.Vilanova, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding. Computer Methods and Programs in Biomedicine, 115(3), pp. 147-161, 2014. [IF 1.897, Q1(15/102) CSTM]

  • [NR 2014] O.Ganiler, A.Oliver, Y.Diez, J.Freixenet, J.C.Vilanova, B.Beltran, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies. Neuroradiology, 56(5), pp 363-374, 2014 . [IF 2.485, Q2(41/125) RNMMI]

  • [CMPB 2014] E.Roura, A.Oliver, M.Cabezas, J.C.Vilanova, Ll. Ramió-Torrentà, À.Rovira, and X. Lladó. MARGA: Multispectral Adaptive Region Growing Algorithm for brain extraction on axial MRI. Computer Methods and Programs in Biomedicine, 113(2), pp 655-673, 2014. [IF 1.897, Q1(15/102) CSTM]

  • [NR 2012] X. Lladó, O. Ganiler, A. Oliver, R. Martí, J. Freixenet, L. Valls, J.C. Vilanova, Ll. Ramió-Torrentà, A. Rovira. Automated detection of multiple sclerosis lesions in serial brain MRI. Neuroradiology, 54(8), pp 787-807, 2012.

  • [INFSCI 2012] X. Lladó, A. Oliver, M. Cabezas, J. Freixenet, J.C. Vilanova, A. Quiles, L. Valls, Ll. Ramió-Torrentà, A. Rovira. Segmentation of multiple sclerosis lesions in brain MRI: a review of automated approaches. Information Sciences, 186(1), pp. 164-185, 2012.

  • [CMPB 2011] M. Cabezas, A. Oliver, X. Lladó, J. Freixenet, M. Bach-Cuadra. A review of atlas-based segmentation for magnetic resonance brain images. Computer Methods and Programs in Biomedicine, 104(3), pp e158-e177, 2011.

Conferences and Seminars

  • [SERAM 2024] M. Guirao, N. Nerseyan, R. Bramon, L. Valencia, X. Lladó, Ll. Ramió-Torrentà, À. Rovira, S. Valverde. "Un sistema de inteligencia artificial basado en modelos de atención mejora la cuantificación de las lesiones en T2 y el manejo terapéutico en la EM". 37 Congreso Nacional Sociedad Española de Radiología Médica (SERAM), Barcelona, 22-25 May 2024.
     
  • [ACM-BCB 2023] U.Lal-Trehan, A.Oliver, S.Sheth, X.Lladó, and L.Giancardo. "Strategies to combine 3D vasculature and brain CTA with deep neural networks: application to LVO". ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Proc ACM-BCB. Houston, Texas. September 2023.
     
  • [MICCAI-TOPCOW 2023] C. Yalçin, R. Hamadache, J. Salvi, A. Oliver, and X. Lladó. "Segmentation of the Circle of Willis for CTA and MRA images using nnUNet". MICCAI - Topology-aware anatomical segmentation of the Circle of Willis Challenge. Vancouver, Canada. October 2023.
     
  • [MICCAI-TOPCOW 2023] U. Lal-Trehan, V. Abramova, L. Giancardo, A. Oliver, and X. Lladó. "Topology-aware anatomical segmentation of the Circle of Willis for CTA and MRA". MICCAI - Topology-aware anatomical segmentation of the Circle of Willis Challenge. Vancouver, Canada. October 2023.
     
  • [MICCAI-BRATS 2023] V. Abramova, U. Lal-Trehan, C. Yalçin, R. Hamadache, A. Clèrigues, A. Tovar, M. Guirao, J. Salvi, A. Oliver, and X. Lladó. "nnUnet for brain tumor segmentation in sub-saharian Africa patient population". MICCAI - BraTS challenge on Sub-Sahara-Africa adult glioma. Vancouver, Canada. October 2023.
     
  • [MS 2023] Ll. Coll, P. Carbonell-Mirabent, Á. Cobo-Calvo, G. Arrambide, Á. Vidal-Jordana, M. Comabella, J. Castilló, B. Rodríguez-Acevedo, A. Zabalza, I. Galán, L. Midaglia, C. Nos, A. Salerno, C. Auger, M. Alberich, J. Río, J. Sastre-Garriga, A. Oliver, X. Montalban, À. Rovira, M. Tintoré, D. Pareto, X. Lladó, C. Tur. "Prediction of progression independent of relapse activity at the first demyelinating attack with a deep learning image-based survival model". Multiple Sclerosis. Milan, 11-13 Oct 2023. [JCR CN IF:5.800 Q1(31/212)] (pdf KB)

  • [MS 2023] A. Clèrigues, S. Valverde, R. Bramón, L. Valencia, M. Guirao, J. Salvi, A. Oliver, À. Rovira, X. Lladó. "End to end multiple sclerosis lesions inpainting and tissue segmentation using a deep learning approach". Multiple Sclerosis. Milan, 11-13 Oct 2023. [JCR CN IF:5.800 Q1(31/212)] (pdf KB)

  • [MS 2023] A. Clèrigues, S. Valverde, R. Bramon, L. Valencia, M. Guirao, J. Salvi, A. Oliverª, À. Rovira, X. Lladó. "Studying the effect of MS lesions on brain volumetry computed using a patch-based deep learning tissue segmentation". Multiple Sclerosis. Milan, 11-13 Oct 2023. [JCR CN IF:5.800 Q1(31/212)] (pdf KB)

  • [MS 2023] M. Guirao, N. Nerseyan, S. Valverde, R. Bramon, A. Clèrigues, L. Valencia, G. Álvarez, M. Puig, A. Gifreu, A. Oliver, X.Lladó, À. Rovira, L. Ramió-Torrentà. "Inclusion of attention gates in a 3D CNN model improves the performance in new T2 lesion quantification". Multiple Sclerosis. Milan, 11-13 Oct 2023. [JCR CN IF:5.800 Q1(31/212)] (pdf KB)

  • [MS 2022] Ll. Coll, P. Carbonell-Mirabent, Á. Cobo-Calvo, G. Arrambide, Á. Vidal-Jordana, M. Comabella, J. Castilló, B. Rodríguez-Acevedo, A. Zabalza, I. Galán, L. Midaglia, C. Nos, A. Salerno, C. Auger, M. Alberich, J. Río, J. Sastre-Garriga, A. Oliver, X. Montalban, À. Rovira, M. Tintoré, D. Pareto, X. Lladó, C. Tur. "Stratification of MS patients according to their disability using convolutional neural networks on routinely-acquired MRI". Multiple Sclerosis. Amsterdam, 26-28 Oct 2022. [JCR CN IF:6.312 Q1(28/208)] (pdf KB)

  • [MS 2022] S. Valverde, R. Bramon, A. Clèrigues, L. Valencia, A. Oliver, N. Nerseyan, M. Puig, R. Robles, G. Álvarez, D. Lourido, L. Ramió-Torrentà, A. Rovira, X. Lladó. "Assessing the performance of an automated decision-support system for detecting active T2 lesions on non-standardized MRI systems and field strengths". Multiple Sclerosis. Amsterdam, 26-28 Oct 2022. [JCR CN IF:6.312 Q1(28/208)] (pdf KB)

  • [MS 2022] A. Rovira, S. Sceppacuercia, S. Valverde, C. Auger, J.F. Corral, A. Vidal-Jordana, R. Bramon, A. Oliver, M. Tintoré, D. Pareto, F. Xavier Aymerich, X. Montalban, X. Lladó, J. Alonso. "Evaluation of a supervised approach based on the application of CNN for the recognition of new T2 lesions in patients with multiple sclerosis using different MR magnets". Multiple Sclerosis. Amsterdam, 26-28 Oct 2022. [JCR CN IF:6.312 Q1(28/208)] (pdf KB)

  • [ISMRM 2022] Ll. Coll, P. Carbonell-Mirabent, Á. Cobo-Calvo, G. Arrambide, Á. Vidal-Jordana, M. Comabella, J. Castilló, B. Rodríguez-Acevedo, A. Zabalza, I. Galán, L. Midaglia, C. Nos, A. Salerno, C. Auger, M. Alberich, J. Río, J. Sastre-Garriga, A. Oliver, X. Montalban, À. Rovira, M. Tintoré, D. Pareto, X. Lladó, C. Tur. "Classification of MS patients into disability levels using deep learning approaches based solely on routinely-acquired MRI". ISMRM 31th International Society for Magnetic Resonance in Medicine. London, UK, 07-12 May 2022.
     
  • [WS 2022] J.Bernal, K.Kushibar, A.Clèrigues, A.Oliver, and X.Lladó. Deep learning from medical imaging. Deep learning in biology and medicine, Chapter 1. Eds: D.Bacciu, P.J.G.Lisboa, A.Vellido, World Scientific. 2022. (pdf)
     
  • [MICCAI-ISLES 2022] A. Clèrigues, V. Abramova, L. Valencia, Uma Lal-Trehan, M. Guirao, J. Salvi, A. Oliver, X. Lladó. "Stroke lesion segmentation from multimodal MRI using a residual U-Net and bilateral modality augmentation". Ischiemic Stroke Lesion Segmentation (ISLES) in Medical Imaging. MICCAI Workshop, September 18-22, 2022. (pdf KB)

  • [MICCAI-INSTANCE 2022] V. Abramova, A. Clèerigues, L. Valencia, Uma Lal-Trehan, M. Guirao, A. Oliver, J. Salvi, X. Lladó. "Intracranial hemorrhage segmentation using a 3D U-Net with squeeze-and-excitation blocks". Challenge INSTANCE 2022, Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT, MICCAI Workshop, September 18-22, 2022. (pdf KB)

  • [MICCAI-CSeg 2022] E.E. Carvajal-Camelo, J. Bernal, A. Oliver and X.Lladó. I"nfant Cerebellum MRI Segmentation using U-net". MICCAI Challenge. CSeg2022, Multi-domain Cross-time-point Infant Cerebellum MRI Segmentation, MICCAI Workshop. September 18-22, 2022. (pdf KB)

  • [MS 2021] L. Valencia, S. Valverde, A. Clerigues, A. Oliver, .F. Corral, A. Rovira, X. Lladó. "Assessing the usability of synthetic images to improve the detection of new T2 lesions". Multiple Sclerosis, Vienna, Austria. October, 2021. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MS 2021] Ll. Coll, P. Carbonell, G. Arrambide, A. Vidal-Jordana, L. Midaglia, A. Cobo-Calvo, M. Comabella, J. Castilló, B. Rodrñiguezm A. Zabalza, I. Gallán, C. Nos, C. Auger, J. Rio, J. Sastre-Garriga, X. Montalban, M. Tintoré, Àlex Rovira, X. Lladó, D. Pareto, C. Tur. "Spatial features of brain demyelinating lesions as prognostic factors in the clinically isolated syndrome". Multiple Sclerosis, Vienna, Austria. October, 2021. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MICCAI-MSSEG2 2021] M. Salem, A. Oliver, J. Salvi, and X. Lladó. "A fully convolutional neural network for the detection of new T2-w lesion in multiple scleros". MS new lesions segmentation challenge using a data management and processing infrastructure (MSSEG2) Challenge. MICCAI 2021. September 2021. (pdf KB)

  • [ISMRM 2021] J. Alonso, D. Pareto, M. Alberich, T. Kober, B. Maréchal, X. Lladó, A. Rovira. "Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software". ISMRM 30th International Society for Magnetic Resonance in Medicine. May 2021.
     
  • [SEN 2021] J.F. Corral, J. Alonso, C. Auger, S. Valverde, A. Vidal-Jordana, A. Oliver, A. Barros, K. Ng Wong, M. Tintore, F.X. Aymerich, X. Montalban, X. Lladó, A. Rovira. "Evaluación de sistemas automáticos para la detección de lesiones T2 activas en pacientes con esclerosis múltiple". LXXIII Conference Sociedad Española de Neurología (SEN). November, 2021. (pdf KB)

  • [SEN 2021] Ll. Coll, P. Carbonell, G. Arrambide, A. Vidal-Jordana, L. Midaglia, A. Cobo-Calvo, M. Comabella, J. Castilló, B. Rodrñiguezm A. Zabalza, I. Gallán, C. Nos, C. Auger, J. Rio, J. Sastre-Garriga, X. Montalban, M. Tintoré, Àlex Rovira, X. Lladó, D. Pareto, C. Tur. "Características espaciales de las lesiones desmielinizantes cerebrales como factores pronóstico en el síndrome clínico aislado". LXXIII Conference Sociedad Española de Neurología (SEN). November, 2021. (pdf KB)

  • [SERAM 2021] S. Valverde, A. Oliver, X. Lladó. "Aplicaciones automáticas de soporte al neuroradiólogo para mejorar la sensibilidad ante la presencia de lesiones nuevas en T2 en esclerosis múltiple". Congreso Nacional Sociedad Española de Radiología Médica (SERAM), 2021. (pdf KB)

  • [JEMGI 2021] S. Valverde, R. Bramon, X. Lladó. "AI en análisis de imagen para pacientes con EM. Su evolución y aplicación". Ponència invitada a les Jornades d'Esclerosis Múltiple del Mediterrani celebrada a Girona, 16-17/12/2021. Ponente: S. Valverde.

  • [JEMGI 2021] R. Bramon, S. Valverde, X. Lladó. "Copilot.MS: una herramienta de análisis de imagen en pacientes con EM". Ponència invitada a les Jornades d'Esclerosis Múltiple del Mediterrani celebrada a Girona, el 16-17/12/2021. Ponente: R. Bramon.

  • [MS 2020] J.F. Corral, J. Alonso, C. Auger, S. Valverde, A. Vidal-Jordana, A. Oliver, A. Barros, K. Ng Wong, M. Tintore, F.X. Aymerich, X. Montalban, X. Lladó, A. Rovira. "Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients". Multiple Sclerosis, Washington D.C, USA. September, 2020. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MICCAI-iSeg 2019] J. Bernal, K. Kushibar, S. Valverde, M.Cabezas, M. Salem, J. Salvi, A. Oliver, Xavier Lladó. "Six-month infant brain magnetic resonance image tissue segmentation using multi-atlas segmentation with joint label fusion and convolutional neural networks". MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg-2019. MICCAI 2019. Xina, 2019. (pdf KB)

  • [MICCAI-BRATS 2019] M. Cabezas, S. Valverde, A. Clèrigues, M. Salem, K. Kushibar, J. Bernal, A. Oliver, J. Salvi and X. Lladó. "Brain tumour segmentation and prediction via CNNs". Multimodal Brain Tumor Segmentation Challenge 2019 (BRATS) in Medical Imaging. MICCAI Workshop, Xina, 2019. (pdf KB)

  • [MS 2019] M. Salem, S. Valverde, M. Cabezas, D. Pareto, A. Oliver, J. Salvi, A. Rovira, X. Lladó. "Detecting the appearance of new T2-w multiple sclerosis lesions in longitudinal studies using Deep convolutional neural network". Multiple Sclerosis, Stockholm. Sweden, September, 2019. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MS 2019] M. Salem, S. Valverde, M. Cabezas, D. Pareto, A. Oliver, J. Salvi, A. Rovira, X. Lladó. "Lesion synthesis for extending MRI training datasets and improving automatic multiple sclerosis lesion segmentation". Multiple Sclerosis, Stockholm. Sweden, September, 2019. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MS 2019] S. González-Villà, S. Valverde, M. Cabezas, Y. Huo, A. Oliver, Ll. Ramió-Torrentà, B.A. Landman, X. Lladó. "An end to end automated pipeline for brain structure segmentation in multiple sclerosis patients". Multiple Sclerosis, Stockholm. Sweden, September, 2019. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [MS 2019] D. Pareto, J. Alonso, M. Alberich, T. Kober, B. Maréchal, X. LladLladó, A. Rovira. "Quantitative comparison of brain volume measures as determined from MP2RAGE and MPRAGE images". Multiple Sclerosis, Stockholm. Sweden, September, 2019. [JCR CN IF:5.649 Q1(23/199)] (pdf KB)

  • [JEMGI 2019] S. Valverde, M.Cabezas, M. Salem, K. Kushibar, A. Clèrigues, J. Bernal, J. Salvi, A. Oliver, X. Lladó. "Big Data, Intel·ligència Artificial, Machine Learning, etc. “Què és què?”". Ponència invitada a les Jornades d'Esclerosis Múltiple del Mediterrani celebrada a Girona, el 18-19/10/2019. Ponent: S. Valverde.

  • [MICCAI-ISLES 2018] A. Clérigues, S. Valverde, J. Bernal, K. Kushibar, M. Cabezas, A. Oliver, and X. Lladó. "Ensemble of convolution neural networks for acute stroke anatomy differentiation". Ischiemic Stroke Lesion Segmentation (ISLES) in Medical Imaging. MICCAI Workshop, 2018. (pdf KB)

  • [MICCAI-MRBRAINS 2018] J. Bernal, M. Salem, K. Kushibar, A. Clérigues, S. Valverde, M. Cabezas, S. Gonzàlez-Villà, J. Salvi, A. Oliver, and X. Lladó. "MR Brain segmentation using an ensemble of multi-path u-shaped convolutional neural networks and tissue segmetnation priors". MR Brain tissue segmentation Challenge in Medical Imaging. MICCAI Workshop, 2018. (pdf KB)

  • [MICCAI-BRATS 2018] M. Cabezas, S. Valverde, S. González-Villà, A. Clèrigues, M. Salem, K. Kushibar, J. Bernal, A. Oliver, J. Salvi and X. Lladó. "Survival prediction using ensemble tumor segmentation and transfer learning ". Multimodal Brain Tumor Segmentation Challenge 2018 (BRATS) in Medical Imaging. MICCAI Workshop, 2018. (pdf KB)

  • [MICCAI-Patch MI 2018] S. González-Villà, Y. Huo, A. Oliver, X. Lladó, B. Landman. "Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis". 4th International Workshop on Patch-based Techniques in Medical Imaging. MICCAI Workshop, 2018. (pdf KB)

  • [SERAM 2018] S.Valverde, A. Oliver, J.C Vilanova, Ll. Ramió-Torrentà, À. Rovira, X. Lladó. "Herramientas basadas en Deep Learning para la segmentación de imágenes de RM. Aplicación a la cuantificación de lesiones de esclerosis múltiple". Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain. (pdf KB)

  • [SERAM 2018] M. Salem, M. Cabezas, S.Valverde, J. Salvi, À. Rovira, X. Lladó. "Detección supervisada de lesiones activas de esclerosis múltiple usando substracción de imágenes y campos de deformación". Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain. (pdf KB)

  • [MS 2018] S. Valverde, M. Salem, M. Cabezas, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, A. Rovira, A. Oliver, J. Salvi, X. Lladó. "Manual delineation of only one image in unseen databases is sufficient for accurate performance in automated multiple sclerosis lesion segmentation". Multiple Sclerosis, Berlin. October 2018. [JCR CN IF:5.280 Q1(22/197)] (pdf KB)

  • [MS 2018] A. Clerigues, S. Valverde, J. Bernal, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, A. Rovira, A. Oliver, X. Lladó. "A quantitative analysis of deep learning methods for multiple sclerosis white matter lesion segmentation". Multiple Sclerosis, Berlin. October 2018. [JCR CN IF:5.280 Q1(22/197)] (pdf KB)

  • [MICCAI-iSeg 2017] J. Bernal, K. Kushibar, S. Valverde, M.Cabezas, S. González-Villà, M. Salem, J. Salvi, A. Oliver, Xavier Lladó. "Six-month infant brain tissue segmentation using three dimensional fully convolutional neural networks and pseudo-labelling". MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg-2017. MICCAI 2017. Quebec, Canada. 14 September 2017. (pdf KB)

  • [MICCAI-WMH 2017] S. Valverde, M.Cabezas, J. Bernal, K. Kushibar, S. González-Villà, M. Salem, J. Salvi, A. Oliver, Xavier Lladó. "White matter hyperintensities segmentation using a cascade of three convolutional neural networks". MICCAI Grand Challenge on White Matter Hyperintensties Segmentation. MICCAI 2017. Quebec, Canada. 14 September 2017. (pdf KB)

  • [ESMRMB 2017] J. Alonso, D. Pareto, M, Alberich, T. Kober, X. Lladó, and A. Rovira. "Quantitative comparison of brain volumes as assessed by SPM, SIENA/X and MorphoBox software packages". 34 European Society for Magnetic Resonance in Medicine and Biology, Barcelona, Oct 19-22, 2017. (pdf KB)
     
  • [MS 2017] S. Valverde, M. Cabezas, E. Roura, S. González-Villà, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, A. Rovira, A. Oliver, X. Lladó. "A deep learning approach for multiple sclerosis lesion segmentation". Multiple Sclerosis, Paris. October 2017. [JCR CN IF:4.840 Q1(27/194)] (pdf KB)

  • [MS 2017] S. González-Villà, S. Valverde, M. Cabezas, D. Pareto, J.C. Vilanova, Ll. Ramió-Torrentà, A. Rovira, A. Oliver, X. Lladó. "Do multiple sclerosis lesions affect automatic brain structure segmentation?". Multiple Sclerosis, Paris. October 2017. [JCR CN IF:4.840 Q1(27/194)] (pdf KB)

  • [MS 2017] M. Salem, M. Cabezas, S. Valverde, D. Pareto, A. Rovira, A. Oliver, J. Salvi, A. Rovira, X. Lladó. "Supervised detection of newly appearing T2-w multiple sclerosis lesions with subtraction and deformation fields features". Multiple Sclerosis, Paris. October 2017. [JCR CN IF:4.840 Q1(27/194)] (pdf KB)

  • [MS 2017] D. Pareto, J. Alonso, M. Alberich, T. Kober, X. Lladó, A. Rovira. "Quantitative comparison of brain volumes as assessed by SPM, SIENA/X and MorphoBox software packages". Multiple Sclerosis, Paris. October 2017. [JCR CN IF:4.840 Q1(27/194)] (pdf KB)

  • [MSSEG 2016] E. Roura, M. Cabezas, S. Valverde, S. Gonzalez-Villa, J. Salvi, A. Oliver, and X. Llado. "Unsupervised Multiple Sclerosis Lesion Detection and Segmentation using Rules and Level Sets". Multiple Sclerosis Lesions segmentation (MSSEG) Challenge. MICCAI 2016. Athens, Greece. 21 October 2016. (pdf KB)

  • [MSSEG 2016] S. Valverde, M. Cabezas, E. Roura, S. Gonzalez-Villa, J. Salvi, A. Oliver, and X. Llado. "Multiple Sclerosis Lesion Detection and Segmentation using a Convolutional Neural Network of 3D Patches". Multiple Sclerosis Lesions segmentation (MSSEG) Challenge. MICCAI 2016. Athens, Greece. 21 October 2016. (pdf KB)

  • [MS 2016] S.Valverde, A.Oliver, S.Gonzalez-Villa, E.Roura, D.Pareto, J.C.Vilanova, Ll.Ramio-Torrenta, A.Rovira, and X.Llado. Automated tissue segmentation of magnetic resonance images of multiple sclerosis patients. Multiple Sclerosis, to appear, 2016. [IF 4.822, Q1(22/192) CN]

  • [MS 2016] M.Cabezas, D.Pareto, A.Oliver, J.F.Corral, C.Auger, X.Aymerich, J.Sastre-Garriga, M.Tintore, X.Montalban, X.Llado, and A.Rovira. Detection of new multiple sclerosis lesions on longitudinal brain MRI. Multiple Sclerosis, to appear, 2016. [IF 4.822, Q1(22/192) CN]

  • [MS 2016] D. Pareto, J. Alonso, M. Alberich, J. Río, X. Lladó, A. Rovira. Comparison of structural T1-weighted sequences: MPRAGE to MP2RAGE. Multiple Sclerosis, to appear, 2016. [IF 4.822, Q1(22/192) CN]

  • [SPIE 2016] E.Roura, A.Oliver, M.Cabezas, S.Valverde, D.Pareto, J.C.Vilanova, Ll.Ramio-Torrenta, A.Rovira, and X.Llado. An SPM12 extension for multiple sclerosis lesion segmentation. SPIE Conference on Medical Imaging, Proc SPIE 9784, pp 97842N1-97842N6. San Diego, California. February 2016.

  • [SERAM 2016] M.Cabezas, A.Oliver, X.Llado, D.Pareto, and A.Rovira. Analisis del uso de la imagen de sustraccion para detectar nuevas lesions de T2 en pacientes de esclerosis multiple. XXXIII Congreso de la Sociedad Espanola de Radiologia. Bilbao, Spain. May 2016.

  • [MS 2015] S.Valverde, A.Oliver, E.Roura, D.Pareto, J.C.Vilanova, Ll.Ramio-Torrenta, J.Sastre-Garriga, X.Montalban, A.Rovira, and X.Llado. Evaluation of two automated lesion segmentation and filling pipelines for brain tissue segmentation of multiple sclerosis patients. Multiple Sclerosis, to appear, 2015. [IF 4.822, Q1(22/192) CN]

  • [MS 2015] E.Roura, A.Oliver, M.Cabezas, S.Valverde, D.Pareto, J.C.Vilanova, Ll.Ramio-Torrenta, A.Rovira, and X.Llado. A toolbox for segmenting multiple sclerosis lesions using T1w and FLAIR images. Multiple Sclerosis, to appear, 2015. [IF 4.822, Q1(22/192) CN]

  • [MS 2015] M.Cabezas, A.Oliver, X.Llado, C.Auger, J.Sastre-Garriga, D.Pareto, X.Montalban, and A.Rovira. A pipeline for detecting new multiple sclerosis lesions on longitudinal brain magnetic resonance imaging. Multiple Sclerosis, to appear, 2015. [IF 4.822, Q1(22/192) CN]

  • [MS 2015] M.Cabezas, J.F.Corral, A.Oliver, X.Llado, C.Auger, J.Sastre-Garriga, M.Tintore, D.Pareto, X.Montalban, and A.Rovira Evaluating the sensitivity of subtraction imaging for the detection of new T2 multiple sclerosis lesions when using visual analysis. Multiple Sclerosis, to appear, 2015. [IF 4.822, Q1(22/192) CN]

  • [JEMGI 2015] S. Valverde, A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler, Y. Diez, E. Roura, S. Gonzalez, X.Llado. "Passat, present i futur en la quantificaco automatica del teixit cerebral en pacients d'esclerosi multiple". Ponencia invitada a la 5 Jornada d'Esclerosis Multiple de Girona celebrada a Girona, el 10/07/2015. Ponent: S. Valverde.

  • [NE 2014] E Quintana, B Beltran, S Valverde, R Robles-Cedeno, H. Perkal, X. Llado, JM Fernandez-Real, Ll. Ramio-Torrenta "Relacion entre la expresion de mirnas en LCR y variables de RM". Neurologia, pp 66-67, vol 29, 2014. [JCR CN IF:1.322 Q3(142/191)] (pdf KB)

  • [MS 2014] E Quintana, B Beltran, S Valverde, R Robles-Cedeno, H. Perkal, X. Llado, JM Fernandez-Real, Ll. Ramio-Torrenta "Expression of miRNAs in multiple sclerosis cerebrospinal fluid and their relation to MR activity". Multiple Sclerosis, pp191, 20(S1), Boston, Massachusetts. September 2014. [JCR CN IF:4.822 Q1(22/192)] (pdf KB)

  • [MS 2014] S.Valverde, A.Oliver, D.Pareto, J.C.Vilanova, À.Rovira, Ll. Ramió-Torrentà, and X.Lladó. SLF: a MS white matter lesion filling toolbox for the SPM software. Multiple Sclerosis, to appear, Boston, Massachusetts. September 2014.

  • [JEMGI 2014] A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler, Y. Diez, E. Roura, S. Valverde, X.Lladó."Neuroimatge en EM: de les noves tecnologies a la capçalera del pacient ". Ponència invitada a la I4 Jornada d'Esclerosis Múltiple de Girona celebrada a Pals (Girona), el 4/07/2014. Ponent: A. Oliver.

  • [IDIBGI 2014] S. Valverde, A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler, Y. Diez, E. Roura, S. Valverde, X.Lladó."Neuroimatge en Esclerosi Múltiple: Anàlisi Automàtic". Ponència invitada a la Jornada Científica de l'IDIBGI de Girona celebrada a Sant Feliu de Guíxols (Girona), el 11/07/2014. Ponent: S. Valverde.

  • [ISMRM 2013] E. Roura, T. Schneider, M. Modat, P. Daga, N. Muhlert, D. Chard, S. Ourselin, X. Lladó, C.A.M. Wheeler-Kingshott. "Evaluating a multi-channel registration approach of FA and T1w on MS patients with simulated atrophy". ISMRM 21th International Society for Magnetic Resonance in Medicine. Salt Lake City, USA, 20-26 April 2013.
     
  • [MS 2013] E. Roura, A. Oliver, M. Cabezas, J. Freixenet, X. Lladó, J.C. Vilanova, A. Rovira and Ll. Ramió-Torrentà. "Extracting the brain in axial MR images with an adaptive segmentation technique". Multiple Sclerosis. Copenhagen, Denmark. 2-5 October 2013. [JCR CN IF:4.472 Q1(25/191)] (pdf KB)
     
  • [MS 2013] S.Valverde, A. Oliver, M. Cabezas, Y. Díez, J. Freixenet, X. Lladó, J.C. Vilanova, A. Rovira and Ll. Ramió-Torrentà. "A quantitative study of the effects of White Matter MS Lesions on tissue segmentation methods". Multiple Sclerosis. Copenhagen, Denmark. 2-5 October 2013. [JCR CN IF:4.472 Q1(25/191)] (pdf KB)
     
  • [IBPRIA 2013] M. Cabezas, A. Oliver, J. Freixenet, X. Lladó. "A supervised approach for multiple sclerosis lesion segmentation using context features and an outlier map". In Iberian Conference on Pattern Recognition and Image Analysis. LNCS 7887, pp 782-789. Madeira, Portugal, June 5-7, 2013. (pdf KB)
     
  • [ISMRM 2012] E. Roura, T. Schneider, P. Daga, M. Modat, N. Muhlert, J. Freixenet, D. Chard, S. Ourselin, X. Lladó, C.A.M. Wheeler-Kingshott. "Multi-Channel registration of FA and T1-weighted images to standard space: patients with Multiple Sclerosis". ISMRM 20th International Society for Magnetic Resonance in Medicine. Melbourne, Australia. 5-11 May 2012.
     
  • [NE 2012] X. Lladó, M. Cabezas, O. Ganiler, A. Oliver, Y. Donoso, J. Freixenet, L. Valls, A. Quiles, G. Lagillo, D. Pareto, J.C. Vilanova, A. Rovira, Ll. Ramió-Torrentà. "SALEM: Herramientas informáticas para la detección de lesiones de esclerosis múltiple en estudios longitudinales mediante imágenes de resonancia magnética del cerebro.". Neurología, JCR CN IF:0.790 Q4(161/191) . 2012. (pdf KB)

  • [MS 2012] M. Cabezas, A. Oliver, X. Lladó, Y. Díez, J. Freixenet, J.C. Vilanova, A. Quiles, G. Laguillo, Ll. Ramió-Torrentà, D. Pareto, and A. Rovira. "A supervised approach to segment multiple sclerosis lesions using context-rich features and a boosting classifier". Multiple Sclerosis. [JCR CN IF:4.472 Q1(25/191)] Lyon, France. October 2012. (pdf KB)

  • [MS 2012] O. Ganiler, X. Lladó, A. Oliver, Y. Díez, J. Freixenet, J.C. Vilanova, A. Quiles, G. Laguillo, Ll. Ramió-Torrentà, D. Pareto, and A. Rovira. "Detecting evolving white matter MS lesions in serial brain MRI studies: analysis of a subtraction approach". Multiple Sclerosis. [JCR CN IF:4.472 Q1(25/191)] . Lyon, France. October 2012. (pdf KB)

  • [MS 2012] Y. Díez, X. Lladó, A. Oliver, R. Martí, E. Roura, M. Cabezas, O. Ganiler, J. Freixenet, J.C. Vilanova, L. Valls, Ll. Ramió-Torrentà, D. Pareto, and A. Rovira. "Registration of serial brain MRI scans from multiple sclerosis patients. Analysis of 3D intensity-based methods". Multiple Sclerosis. [JCR CN IF:4.472 Q1(25/191)] . Lyon, France. October 2012. (pdf KB)

  • [JEMGI 2012] J.Freixenet, X.Lladó, A.Oliver, M.Cabezas, O. Ganiler, Y. Diez, E. Roura, S. Valverde. "Anàlisi d'imatge automatitzat en Esclerosi Múltiple: Identificació de lesions i atròfia". Ponència invitada a la II Jornada d'Esclerosis Múltiple de Girona celebrada a Pals (Girona), el 13/07/2012. Ponent: J. Freixenet.

  • [TIC Salut 2012] X.Lladó, A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler. "Projecte SALEM: Segmentació de lesions d'esclerosi múltiple". In III Jornada R+D+i en TIC Salut realitzada en el Parc Científic y Tecnològic de la Universidad de Girona. 7 i 8 de juny 2012.

  • [ECTRIMS 2011] X. Lladó, O. Ganiler, A. Oliver, M. Cabezas, J. Freixenet, J.C. Vilanova, L. Valls, Ll. Ramió-Torrentà, and A. Rovira. "Computer-assisted strategies to automated quantification of multiple sclerosis lesion evolution on brain magnetic resonance imaging". ECTRIMS. Multiple Sclerosis. To appear. Amsterdam, The Netherlands. October 2011.

  • [ECTRIMS 2011] M. Cabezas, M. Bach-Cuadra, A. Oliver, X. Lladó, J. Freixenet, J.C. Vilanova, L. Valls, Ll. Ramió-Torrentà, E. Huerga, D. Pareto, and A. Rovira. "A pipeline approach with spatial information for segmenting multiple sclerosis lesions on brain magnetic resonance imaging". ECTRIMS. Multiple Sclerosis. To appear. Amsterdam, The Netherlands. October 2011.

  • [SEN 2011] X. Lladó, O. Ganiler, A. Oliver, M. Cabezas, J. Freixenet, J.C. Vilanova, L. Valls, Ll. Ramió-Torrentà, and A. Rovira."Técnicas automáticas de segmentación de lesiones de EM y de cuantificación volumétrica en estudios temporales.". In Reunión anual Sociedad Espanola Neurología (SEN). 15-19 Noviembre 2011.

  • [SEN 2011] J. Freixenet, M. Cabezas, M. Bach-Cuadra, A. Oliver, X. Lladó, J.C. Vilanova, L. Valls, Ll. Ramió-Torrentà, E. Huerga, D. Pareto, and A. Rovira. "Segmentación de lesiones de esclerosis múltiple en resonancia magnética del cerebro mediante información espacial". In Reunión anual Sociedad Espanola Neurología (SEN). 15-19 Noviembre 2011.

  • [TIC Salut 2011] X.Lladó. "Proyecto SALEM: Segmentación de lesiones de esclerosis múltiple en resonancia magnética del cerebro". In II Jornada R+D+i en TIC Salut realizada en el Parque Científico y Tecnológico de la Universidad de Girona. 4 y 5 de Mayo de 2011.

  • [Trueta 2011] X.Lladó, A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler. "Proyecto SALEM". Seminario en la jornada EMGI: Esclerosis Múltiple de Girona del Hospital Dr. Josep Trueta de Girona. 07/04/2011. Ponente: X. Lladó.

  • [JEMGI 2011] X.Lladó, A.Oliver, J.Freixenet, M.Cabezas, O. Ganiler. "Técnicas de segmentación automática de imágenes de RM Neurológicas". Ponencia invitada en la I Jornada de Esclerosis Múltiple de Girona celebrada en Pals (Girona), el 15/07/2011. Ponente: X. Lladó.

  • [MICCAT 2011] M. Cabezas, A. Oliver, J. Freixenet, X. Lladó. "Segmentation of multiple sclerosis lesions in MRI using spatial information". In Medical Image Computing in Catalunya: Graduate Student Workshop (non-indexed). Barcelona, October 2011.

  • [MICCAT 2011] O. Ganiler, A. Oliver, J. Freixenet, X. Lladó. "Determining MS Lesion Evolution on Brain MRI". In Medical Image Computing in Catalunya: Graduate Student Workshop (non-indexed). Barcelona, October 2011.

  • [ECTRIMS 2010] X. Lladó, M. Cabezas, O. Ganiler, A. Oliver, J. Freixenet, J.C. Vilanova, A. Quiles, Ll. Ramió-Torrenta, A. Rovira. "Strategies for Automated Segmentation of Multiple Sclerosis Lesions on Brain Magnetic Resonance Imaging". ECTRIMS. Multiple Sclerosis, vol 16(10) S256, Gothenburg, Sweden, October, 2010.

  • [MICCAT 2010] M. Cabezas, X. Lladó, A. Oliver, and J. Freixenet. "Strategies for Automated Segmentation of Multiple Sclerosis Lesions on Brain MRI". In Medical Image Computing in Catalunya: Graduate Student Workshop (non-indexed). Girona, October 2010.

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