| Data | Títol | Autor(s) | Tipus | | 2023 | Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI | COLL, L.;Pareto, Deborah;Carbonell-Mirabent, Pere;Calvo, Ángel;Arrambide, Georgina;Vidal-Jordana, Ángela;Comabella, Manuel;Castilló, J.;Rodríguez-Acevedo, Breogán;Zabalza, Ana;Galán, Ingrid;Midaglia, Luciana;Nos, Carlos;Auger, Cristina;Alberich, Manel;O´Callaghan, D. J.;Garriga, Jaume;Oliver, Arnau;Montalban Gairin, Javier;Rovira, Àlex;Tintoré, Mar;Lladó, Xavier;Tur, Carmen | Article |
| 2023 | The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge | Xiangyu Li; Gongning Luo; Kuanquan Wang; Hongyu Wang; Shuo Li; Jun Liu; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; Xinghua Ma; Jingwen Guo; Yifan Liu; Chuanpu Li; Zeli Chen; Md Mahfuzur Rahman Siddiquee; Andriy Myronenko; Antoine P Sanner; Anirban Mukhopadhyay; Ahmed E Othman; Xingyu Zhao; Weiping Liu; Jinhuang Zhang; Xiangyuan Ma; Qinghui Liu; Bradley J MacIntosh; Wei Liang; Moona Mazher; Abdul Qayyum; Valeriia Abramova; Xavier Lladó | Article |
| 2023 | Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry | Clèrigues A., Valverde S.; Salvi J.; Oliver A.; Lladó X.; | Article |
| 2023 | Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI. | Llucia Coll; Deborah Pareto; Pere Carbonell-Mirabent; Álvaro Cobo-Calvo; Georgina Arrambide; Ángela Vidal-Jordana; Manuel Comabella; Joaquín Castilló; Breogán Rodríguez-Acevedo; Ana Zabalza; Ingrid Galán; Luciana Midaglia; Carlos Nos; Annalaura Salerno; Cristina Auger; Manel Alberich; Jordi Río; Jaume Sastre-Garriga; Arnau Oliver; Xavier Montalban; Àlex Rovira; Mar Tintoré; Xavier Lladó; Carmen Tur; | Article |
| 2022 | Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach | M. Salem; M. A. Ryan; A. Oliver; K. F. Hussain;X. Lladó | Article |
| 2022 | Motion-region annotation for complex videos via label propagation across occluders | Habib M.; Diez Y. ; Oliver A. ; Salvi J. ; Lladó X. | Article |
| 2022 | QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results | R. Mehta; A. Filos; U. Baid; C. Sako; R.McKinley; M.Rebsamen; K. Datwyler; R.Meier; P. Radojewski; G.Krishnan Murugesan; S.Nalawade; C. Ganesh; B. Wagner; Fang F. Yu; B.Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian; L. Daza; C. Gomez; P. Arbelaez; C.Dai; S. Wang; H.Reynaud; Y.Mo; E. Angelini; Y. Guo; W. Bai; S.Banerjee; L. Pei; Murat AK; S. Rosas-Gonzalez; I. Zemmoura; C. Tauber; Minh H. Vu; T. Nyholm; T. Lofstedt; L. Mora Ballestar; V. Vilaplana; H. McHugh; G.Maso Talou; A. Wang; J. Patel; K.Chang; K. Hoebel; M. Gidwani; N. Arun; S. Gupta; M. Aggarwal; P. Singh; Elizabeth R. Gerstner; J. Kalpathy-Cramer; N. Boutry; A. Huard; L. Vidyaratne; Md Monibor Rahman; Khan M. Iftekharuddin; J. Chazalon; E. Puybareau; G. Tochon; J. Ma; M. Cabezas; X. Llado; A. Oliver; L. Valencia; S. Valverde; M. Amian; M. Soltaninejad; A. Myronenko; A. Hatamizadeh; X. Feng; Q. Dou; N. Tustison; C. Meyer; Nisarg A. Shah; S. Talbar; M. Weber; A. Mahajan; A. Jakab; R. Wiest; Hassan M. Fathallah-Shaykh; A. Nazeri, M. Milchenko; D. Marcus; A. Kotrotsou; R. Colen; J. Freymann; J. Kirby; C. Davatzikos; B. Menze; S. Bakas; Y.Gal; T. Arbel | Article |
| 2022 | 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 | Puig J.;Martí R.;Lladó X.;Corral-Baqués M-I.;Sendrós-Tolsau S. | Article |
| 2022 | Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis. | Rovira A; Salem M; Oliver A; Valencia L; Llado X; Valverde S; Clerigues A; | Article |
| 2021 | Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients | Rovira Cañellas, Alejandro;Corral, Juan Francisco;Auger, Cristina;Valverde, Sergi;Vidal-Jordana, Ángela;Oliver, Arnau;Barros, Andrea De;Ng Wong, Yiken Karelys;Tintorè, Mar;Pareto, Deborah;Aymerich, Francesc Xavier;Montalban Gairin, Javier;Lladó, Xavier;Alonso, Juli | Article |
| 2021 | Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm | Rovira A; Valverde S; Ramio-Torrenta L; Oliver A; Vilanova JC; Valencia L; Clerigues A; Coll L; Llado X; | Article |
| 2021 | Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks | Abramova, V.; Clèrigues, A.; Quiles, A.; Garcia Figueredo, D.; Silva, Y.; Pedraza, S.; Oliver, A.; Lladó, X. | Article |
| 2021 | Evaluating the effect of intensity standardisation on longitudinal whole brain atrophy quantification ion brain magnetic resonance images | Carvajal-Camelo, E.E.; Bernal, J.; Oliver, A.; Lladó, X.; Trujillo, M. | Article |
| 2021 | Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images | Bernal, J.; Valverde, S.; Kushibar, K.; Cabezas, M.; Oliver, A.; Lladó, X.; the Alzheimer's Disease Neuroimaging Initiative | Article |
| 2021 | Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation. | Kushibar, K.; Salem, M.; Valverde, S.; Rovira, A.; Salvi, J.; Oliver, A; Lladó, X. | Article |
| 2020 | Acute and sub-acute stroke lesion segmentation from multimodal MRI | Clèrigues, A.; Valvedre, S.; Bernal, J.; Freixenet, J.; Oliver, A.; Lladó, X. | Article |
| 2020 | A fully automated pipeline for brain structure segmentation in multiple sclerosis | González-Villà, S.; Oliver, A.; Huo, Y.; Lladó, X.; Landman. B.A. | Article |
| 2020 | Deep learning for mass detection in Full Field Digital Mammograms | Agarwal, Richa; Diaz, Oliver; Yap, Moi Hoon; Llado, Xavier; Marti, Robert | Article |
| 2020 | Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods | Alonso, J.; Pareto, D.; Alberich, M.; Kober, T.; Maréchal, B.; Lladó, X.; Rovira, A. | Article |
| 2020 | A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis | Salem, M.; Valvedre, S.; Cabezas, M.; Pareto, D.; Oliver, A.; Salvi, J.; Rovira, À.; Lladó, X | Article |