Early breast cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up von Loibl, S., André, F., Bachelot, T., Barrios, C.H., Bergh, J., Burstein, H.J., Cardoso, M.J., Carey, L.A., Dawood, S., Del Mastro, L., Denkert, C., Fallenberg, E.M., Francis, P.A., Gamal-Eldin, H., Gelmon, K., Geyer, C.E., Gnant, M., Guarneri, V., Gupta, S., Kim, S.B., Krug, D., Martin, M., Meattini, I., Morrow, M., Janni, W., Paluch-Shimon, S., Partridge, A., Poortmans, P., Pusztai, L., Regan, M.M., Sparano, J., Spanic, T., Swain, S., Tjulandin, S., Toi, M., Trapani, D., Tutt, A., Xu, B., Curigliano, G., Harbeck, N.

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Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations von Sudre, Carole H., Li, Wenqi, Vercauteren, Tom, Ourselin, Sebastien, Jorge Cardoso, M.

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3rd ESO–ESMO international consensus guidelines for Advanced Breast Cancer (ABC 3) von Cardoso, F, Costa, A, Senkus, E, Aapro, M, André, F, Barrios, C.H, Bergh, J, Bhattacharyya, G, Biganzoli, L, Cardoso, M.J, Carey, L, Corneliussen-James, D, Curigliano, G, Dieras, V, El Saghir, N, Eniu, A, Fallowfield, L, Fenech, D, Francis, P, Gelmon, K, Gennari, A, Harbeck, N, Hudis, C, Kaufman, B, Krop, I, Mayer, M, Meijer, H, Mertz, S, Ohno, S, Pagani, O, Papadopoulos, E, Peccatori, F, Pernault-Llorca, F, Piccart, M.J, Pierga, J.Y, Rugo, H, Shockney, L, Sledge, G, Swain, S, Thomssen, C, Tutt, A, Vorobiof, D, Xu, B, Norton, L, Winer, E

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Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis von Rohrer, Jonathan D, PhD, Nicholas, Jennifer M, PhD, Cash, David M, PhD, van Swieten, John, Prof, Dopper, Elise, MD, Jiskoot, Lize, MSc, van Minkelen, Rick, PhD, Rombouts, Serge A, Prof, Cardoso, M Jorge, PhD, Clegg, Shona, BSc, Espak, Miklos, PhD, Mead, Simon, PhD, Thomas, David L, PhD, De Vita, Enrico, PhD, Masellis, Mario, MD, Black, Sandra E, Prof, Freedman, Morris, Prof, Keren, Ron, MD, MacIntosh, Bradley J, PhD, Rogaeva, Ekaterina, PhD, Tang-Wai, David, MD, Tartaglia, Maria Carmela, MD, Laforce, Robert, MD, Tagliavini, Fabrizio, MD, Tiraboschi, Pietro, MD, Redaelli, Veronica, MD, Prioni, Sara, MSc, Grisoli, Marina, MD, Borroni, Barbara, MD, Padovani, Alessandro, Prof, Galimberti, Daniela, PhD, Scarpini, Elio, MD, Arighi, Andrea, MD, Fumagalli, Giorgio, MD, Rowe, James B, PhD, Coyle-Gilchrist, Ian, MB, Graff, Caroline, Prof, Fallström, Marie, MSc, Jelic, Vesna, MD, Ståhlbom, Anne Kinhult, PhD, Andersson, Christin, PhD, Thonberg, Håkan, PhD, Lilius, Lena, BSc, Frisoni, Giovanni B, Prof, Binetti, Giuliano, Pievani, Michela, PhD, Bocchetta, Martina, MSc, Benussi, Luisa, PhD, Ghidoni, Roberta, PhD, Finger, Elizabeth, MD, Sorbi, Sandro, Prof, Nacmias, Benedetta, PhD, Lombardi, Gemma, MD, Polito, Cristina, PhD, Warren, Jason D, Prof, Ourselin, Sebastien, Prof, Fox, Nick C, Prof, Rossor, Martin N, Prof

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Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns von Pålhaugen, Lene, Sudre, Carole H, Tecelao, Sandra, Nakling, Arne, Almdahl, Ina S, Kalheim, Lisa F, Cardoso, M Jorge, Johnsen, Stein H, Rongve, Arvid, Aarsland, Dag, Bjørnerud, Atle, Selnes, Per, Fladby, Tormod

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Evaluation of SARS-CoV-2 interferon gamma release assay in BNT162b2 vaccinated healthcare workers von Ramos, Angélica, Martins, Sandra, Marinho, Ana Sofia, Norton, Pedro, Cardoso, Maria João, Guimarães, João Tiago

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3rd ESO-ESMO International Consensus Guidelines for Advanced Breast Cancer (ABC 3) von Cardoso, F, Costa, A, Senkus, E, Aapro, M, André, F, Barrios, C H, Bergh, J, Bhattacharyya, G, Biganzoli, L, Cardoso, M J, Carey, L, Corneliussen-James, D, Curigliano, G, Dieras, V, El Saghir, N, Eniu, A, Fallowfield, L, Fenech, D, Francis, P, Gelmon, K, Gennari, A, Harbeck, N, Hudis, C, Kaufman, B, Krop, I, Mayer, M, Meijer, H, Mertz, S, Ohno, S, Pagani, O, Papadopoulos, E, Peccatori, F, Penault-Llorca, F, Piccart, M J, Pierga, J Y, Rugo, H, Shockney, L, Sledge, G, Swain, S, Thomssen, C, Tutt, A, Vorobiof, D, Xu, B, Norton, L, Winer, E

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Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images von Lafarge, Maxime W., Pluim, Josien P. W., Eppenhof, Koen A. J., Moeskops, Pim, Veta, Mitko

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Imitation learning for improved 3D PET/MR attenuation correction von Kläser, Kerstin, Varsavsky, Thomas, Markiewicz, Pawel, Vercauteren, Tom, Hammers, Alexander, Atkinson, David, Thielemans, Kris, Hutton, Brian, Cardoso, M.J., Ourselin, Sébastien

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End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network von de Vos, Bob D., Berendsen, Floris F., Viergever, Max A., Staring, Marius, Išgum, Ivana

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EUSOMA quality indicators for non-metastatic breast cancer: An update von Rubio, Isabel T., Marotti, Lorenza, Biganzoli, Laura, Aristei, Cynthia, Athanasiou, Alexandra, Campbell, Christine, Cardoso, Fatima, Cardoso, Maria Joao, Coles, Charlotte E., Eicher, Manuela, Harbeck, Nadia, Karakatsanis, Andreas, Offersen, Birgitte V., Pijnappel, Ruud, Ponti, Antonio, Regitnig, Peter, Santini, Donatella, Sardanelli, Francesco, Spanic, Tanja, Varga, Zsuzsanna, Vrancken Peeters, Marie Jeanne T.F.D., Wengström, Yvonne, Wyld, Lynda, Curigliano, Giuseppe

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Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) von Bi, Lei, Kim, Jinman, Kumar, Ashnil, Feng, Dagan, Fulham, Michael

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In vivo imaging of tau pathology using multi-parametric quantitative MRI von Wells, J.A., O'Callaghan, J.M., Holmes, H.E., Powell, N.M., Johnson, R.A., Siow, B., Torrealdea, F., Ismail, O., Walker-Samuel, S., Golay, X., Rega, M., Richardson, S., Modat, M., Cardoso, M.J., Ourselin, S., Schwarz, A.J., Ahmed, Z., Murray, T.K., O'Neill, M.J., Collins, E.C., Colgan, N., Lythgoe, M.F.

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Serological response to a single dose of a SARS-CoV-2 mRNA vaccine von Ramos, Angélica, Cardoso, Maria João, Norton, Pedro, Sarmento, António, Guimarães, João Tiago

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Cross-contamination of lettuce with Campylobacter spp. via cooking salt during handling raw poultry von Santos-Ferreira, Nânci, Alves, Ângela, Cardoso, Maria João, Langsrud, Solveig, Malheiro, Ana Rita, Fernandes, Rui, Maia, Rui, Truninger, Mónica, Junqueira, Luís, Nicolau, Anca Ioana, Dumitrașcu, Loredana, Skuland, Silje Elisabeth, Kasza, Gyula, Izsó, Tekla, Ferreira, Vânia, Teixeira, Paula

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Learning to Segment Skin Lesions from Noisy Annotations von Mirikharaji, Zahra, Yan, Yiqi, Hamarneh, Ghassan

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Viral Clearance and Serological Response to SARS-CoV-2 in Kidney Transplant Recipients von Silvano, Jos, Ferreira, Filipa, Bustorff, Manuela, Nunes, Ana Teresa, Tavares, Isabel, Sobrinho Sim..es, Joana, Ramos, Ang..lica, Cardoso, Maria Jo.·o, Sampaio, Susana, Pestana, Manuel

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Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment von Cardoso, Jaime S, Cardoso, Maria J

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Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation von You, Chenyu, Xiang, Jinlin, Su, Kun, Zhang, Xiaoran, Dong, Siyuan, Onofrey, John, Staib, Lawrence, Duncan, James S.

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Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography von Akselrod-Ballin, Ayelet, Karlinsky, Leonid, Hazan, Alon, Bakalo, Ran, Horesh, Ami Ben, Shoshan, Yoel, Barkan, Ella

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