Quantification of tumor heterogeneity: from data acquisition to metric generation von Kashyap, Aditya, Rapsomaniki, Maria Anna, Barros, Vesna, Fomitcheva-Khartchenko, Anna, Martinelli, Adriano Luca, Rodriguez, Antonio Foncubierta, Gabrani, Maria, Rosen-Zvi, Michal, Kaigala, Govind

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Wor... von Oyarzun Laura, Cristina, Cardoso, M. Jorge, Rosen-Zvi, Michal, Kaissis, Georgios, Linguraru, Marius George, Shekhar, Raj, Wesarg, Stefan, Erdt, Marius, Drechsler, Klaus, Chen, Yufei

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A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology von Anghel, Andreea, Stanisavljevic, Milos, Andani, Sonali, Papandreou, Nikolaos, Rüschoff, Jan Hendrick, Wild, Peter, Gabrani, Maria, Pozidis, Haralampos

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On the role of artificial intelligence in medical imaging of COVID-19 von Born, Jannis, Beymer, David, Rajan, Deepta, Coy, Adam, Mukherjee, Vandana V., Manica, Matteo, Prasanna, Prasanth, Ballah, Deddeh, Guindy, Michal, Shaham, Dorith, Shah, Pallav L., Karteris, Emmanouil, Robertus, Jan L., Gabrani, Maria, Rosen-Zvi, Michal

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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery: First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop,... von Kakileti, Siva Teja, Gabrani, Maria, Manjunath, Geetha, Rosen-Zvi, Michal, Braman, Nathaniel, Schwartz, Robert G, Frangi, Alejandro F, Chung, Pau-Choo, Weight, Christopher, Jagadish, Vekataraman

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Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training von Sahin, M. Emre, Symons, Benjamin C. B., Pati, Pushpak, Minhas, Fayyaz, Millar, Declan, Gabrani, Maria, Mensa, Stefano, Robertus, Jan Lukas

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Editorial: Explainable multimodal AI in cancer patient care: how can we reduce the gap between technology and practice? von Rosen-Zvi, Michal, Mullen, Lisa, Lukas, Robertus Jan, Guindy, Michal, Gabrani, Maria

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Multi-Organ Gland Segmentation Using Deep Learning von Binder, Thomas, Tantaoui, El Mehdi, Pati, Pushpak, Catena, Raúl, Set-Aghayan, Ago, Gabrani, Maria

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Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks von Pati, Pushpak, Foncubierta-Rodríguez, Antonio, Goksel, Orcun, Gabrani, Maria

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Weakly supervised joint whole-slide segmentation and classification in prostate cancer von Pati, Pushpak, Jaume, Guillaume, Ayadi, Zeineb, Thandiackal, Kevin, Bozorgtabar, Behzad, Gabrani, Maria, Goksel, Orcun

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Hierarchical graph representations in digital pathology von Pati, Pushpak, Jaume, Guillaume, Foncubierta-Rodríguez, Antonio, Feroce, Florinda, Anniciello, Anna Maria, Scognamiglio, Giosue, Brancati, Nadia, Fiche, Maryse, Dubruc, Estelle, Riccio, Daniel, Di Bonito, Maurizio, De Pietro, Giuseppe, Botti, Gerardo, Thiran, Jean-Philippe, Frucci, Maria, Goksel, Orcun, Gabrani, Maria

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Generative feature-driven image replay for continual learning von Thandiackal, Kevin, Portenier, Tiziano, Giovannini, Andrea, Gabrani, Maria, Goksel, Orcun

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BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images von Brancati, Nadia, Anniciello, Anna Maria, Pati, Pushpak, Riccio, Daniel, Scognamiglio, Giosuè, Jaume, Guillaume, De Pietro, Giuseppe, Di Bonito, Maurizio, Foncubierta, Antonio, Botti, Gerardo, Gabrani, Maria, Feroce, Florinda, Frucci, Maria

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ACC-GAN: Cross Scanner Robustness With Annotation Consistency Guided Cycle-GAN von Chiou, Hien-Yu, Tsai, Hung-Wen, Yang, Wei-Jong, Lee, Chih-Hsien, Sun, Ming Ting, Gabrani, Maria, Cheng, Kuo-Sheng, Wu, Meng-Ling, Chung, Pau-Choo

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Surface Reconstruction From Microscopic Images in Optical Lithography von Estellers, Virginia, Thiran, Jean-Philippe, Gabrani, Maria

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Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images von Thandiackal, Kevin, Chen, Boqi, Pati, Pushpak, Jaume, Guillaume, Williamson, Drew F. K., Gabrani, Maria, Goksel, Orcun

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Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs von Anklin, Valentin, Pati, Pushpak, Jaume, Guillaume, Bozorgtabar, Behzad, Foncubierta-Rodriguez, Antonio, Thiran, Jean-Philippe, Sibony, Mathilde, Gabrani, Maria, Goksel, Orcun

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Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings von Pediaditis, Matthew, Ciubotaru, Anca-Nicoleta, Brunschwiler, Thomas, Hilfiker, Peter, Grünwald, Thomas, Ha Berlin, Marcellina, Imbach, Lukas L, Muroi, Carl, Stra Ssle, Christian, Keller, Emanuela, Gabrani, Maria

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CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans von Ali, Omar, Bône, Alexandre, Accardo, Caterina, Belkouchi, Omar, Rohe, Marc-Michel, Vibert, Eric, Vignon-Clementel, Irene

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HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification von Pati, Pushpak, Jaume, Guillaume, Fernandes, Lauren Alisha, Foncubierta-Rodríguez, Antonio, Feroce, Florinda, Anniciello, Anna Maria, Scognamiglio, Giosue, Brancati, Nadia, Riccio, Daniel, Di Bonito, Maurizio, De Pietro, Giuseppe, Botti, Gerardo, Goksel, Orcun, Thiran, Jean-Philippe, Frucci, Maria, Gabrani, Maria

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