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Jeanningros, Loïc; Le Bloa, Mathieu; Teres, Cheryl; Herrera Siklody, Claudia; Porretta, Alessandra; Pascale, Patrizio; Luca, Adrian; Solana Muñoz, Jorge; Domenichini, Giulia; Meister, Théo A; Soria Maldonado, Rodrigo; Tanner, Hildegard; Vesin, Jean-Marc; Thiran, Jean-Philippe; Lemay, Mathieu; Rexhaj, Emrush; Pruvot, Etienne; Braun, Fabian (2024). The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms. Physiological measurement, 45(2) IOP Publishing 10.1088/1361-6579/ad2216
Khan, Amjad; Brouwer, Nelleke; Blank, Annika; Müller, Felix; Soldini, Davide; Noske, Aurelia; Gaus, Elisabeth; Brandt, Simone; Nagtegaal, Iris; Dawson, Heather; Thiran, Jean-Philippe; Perren, Aurel; Lugli, Alessandro; Zlobec, Inti (2023). Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model. Modern pathology, 36(5), p. 100118. Springer Nature 10.1016/j.modpat.2023.100118
Abbet, Christian; Studer, Linda; Fischer, Andreas; Dawson, Heather; Zlobec, Inti; Bozorgtabar, Behzad; Thiran, Jean-Philippe (2022). Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical image analysis, 79(102473), p. 102473. Elsevier 10.1016/j.media.2022.102473
Khan, Amjad; Janowczyk, Andrew; Müller, Felix; Blank, Annika; Nguyen, Huu Giao; Abbet, Christian; Studer, Linda; Lugli, Alessandro; Dawson, Heather; Thiran, Jean-Philippe; Zlobec, Inti (2022). Impact of scanner variability on lymph node segmentation in computational pathology. Journal of pathology informatics, 13(100127), p. 100127. Elsevier 10.1016/j.jpi.2022.100127
Proença, Martin; Braun, Fabian; Lemay, Mathieu; Solà, Josep; Adler, Andy; Riedel, Thomas; Messerli, Franz H; Thiran, Jean-Philippe; Rimoldi, Stefano F; Rexhaj, Emrush (2020). Non-invasive pulmonary artery pressure estimation by electrical impedance tomography in a controlled hypoxemia study in healthy subjects. Scientific reports, 10(1), p. 21462. Springer Nature 10.1038/s41598-020-78535-4
Bozorgtabar, Behzad; Mahapatra, Dwarikanath; Zlobec, Inti; Rau, Tilman T.; Thiran, Jean-Philippe (2020). Editorial: Computational Pathology. Frontiers in medicine, 7(245), p. 245. Frontiers 10.3389/fmed.2020.00245
La Rosa, Francesco; Abdulkadir, Ahmed; Fartaria, Mário João; Rahmanzadeh, Reza; Lu, Po-Jui; Galbusera, Riccardo; Barakovic, Muhamed; Thiran, Jean-Philippe; Granziera, Cristina; Cuadra, Merixtell Bach (2020). Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE. NeuroImage: Clinical, 27, p. 102335. Elsevier 10.1016/j.nicl.2020.102335
Braun, Fabian; Proença, Martin; Adler, Andy; Riedel, Thomas; Thiran, Jean-Philippe; Solà, Josep (2018). Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers. PLoS ONE, 13(1), e0191870. Public Library of Science 10.1371/journal.pone.0191870
Ciller, Carlos; De Zanet, Sandro; Kamnitsas, Konstantinos; Maeder, Philippe; Glocker, Ben; Munier, Francis; Rueckert, Daniel; Thiran, Jean-Philippe; Bach Cuadra, Meritxell; Sznitman, Raphael (2017). Multi-channel MRI segmentation of eye structures and tumors using patient-specific features. PLoS ONE, 12(3), e0173900. Public Library of Science 10.1371/journal.pone.0173900
Proença, Martin; Braun, Fabian; Solà, Josep; Adler, Andy; Lemay, Mathieu; Thiran, Jean-Philippe; Rimoldi, Stefano (2016). Non-invasive monitoring of pulmonary artery pressure from timing information by EIT: experimental evaluation during induced hypoxia. Physiological measurement, 37(6), pp. 713-726. Institute of Physics Publishing IOP 10.1088/0967-3334/37/6/713
Ciller, Carlos; De Zanet, Sandro; Rüegsegger, Michael; Pica, Alessia; Sznitman, Raphael; Thiran, Jean-Philippe; Maeder, Philippe; Munier, Francis L.; Kowal, Horst Jens; Bach Cuadra, Meritxell (2015). Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A novel Statistical Shape Model for treatment planning of Retinoblastoma. International journal of radiation oncology, biology, physics, 92(4), pp. 794-802. Elsevier 10.1016/j.ijrobp.2015.02.056
Brunenberg, Ellen J L; Moeskops, Pim; Backes, Walter H; Pollo, Claudio; Cammoun, Leila; Vilanova, Anna; Janssen, Marcus L F; Visser-Vandewalle, Veerle E R M; ter Haar Romeny, Bart M; Thiran, Jean-Philippe; Platel, Bram (2012). Structural and resting state functional connectivity of the subthalamic nucleus: identification of motor STN parts and the hyperdirect pathway. PLoS ONE, 7(6), e39061. Lawrence, Kans.: Public Library of Science 10.1371/journal.pone.0039061
La Rosa, Francesco; Beck, Erin S.; Abdulkadir, Ahmed; Thiran, Jean-Philippe; Reich, Daniel S.; Sati, Pascal; Bach Cuadra, Meritxell (2020). Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. In: Martel, Anne L.; Abolmaesumi, Purang; Stoyanov, Danail; Mateus, Diana; Zuluaga, Maria A.; Zhou, S. Kevin; Racoceanu, Daniel; Joskowicz, Leo (eds.) Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science: Vol. 12264 (pp. 584-593). Cham: Springer International Publishing 10.1007/978-3-030-59719-1_57
Abbet, Christian; Zlobec, Inti; Bozorgtabar, Behzad; Thiran, Jean-Philippe (2020). Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. In: Martel, Anne L.; Abolmaesumi, Purang; Stoyanov, Danail; Mateus, Diana; Zuluaga, Maria A.; Zhou, S. Kevin; Racoceanu, Daniel; Joskowicz, Leo (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lecture Notes in Computer Science: Vol. 12265 (pp. 480-489). Cham: Springer International Publishing 10.1007/978-3-030-59722-1_46
Mahapatra, Dwarikanath; Bozorgtabar, Behzad; Thiran, Jean-Philippe; Reyes, Mauricio (2018). Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. In: Frangi, Alejandro F.; Schnabel, Julia A.; Davatzikos, Christos; Alberola-López, Carlos; Fichtinger, Gabor (eds.) Medical Image Computing and Computer Assisted Interventions. Lecture Notes in Computer Science: Vol. 11071 (pp. 580-588). Cham: Springer International Publishing 10.1007/978-3-030-00934-2_65
