Multispectral Image Analysis for Patient Tissue Tracking During Complex Interventions. - Francesca Manni; Marco Mamprin; Sveta Zinger; Caifeng Shan; Ronald Holthuizen; Peter H. N. de With (ICIP, 2018)

Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. - Francesca Manni; Xin Liu; Ronald Holthuizen; Svitlana Zinger; Fons van der Sommen; Caifeng Shan; Marco Mamprin; Gustav Burström; Adrian Elmi Terander; Erik Edström; Peter H. N. de With (EMBC, 2019)

Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging. - Francesca Manni; Fons van der Sommen; Sveta Zinger; Esther Kho; Susan G. Brouwer de Koning; Theo Ruers; Caifeng Shan; Jean Schleipen; Peter H. N. de With (Image-Guided Procedures, 2019)

Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. - Francesca Manni; Roger Fonollá; Fons van der Sommen; Svitlana Zinger; Caifeng Shan; Esther Kho; Susan G. Brouwer de Koning; Theo Ruers; Peter H. N. de With (EMBC, 2020)

Automated classification of brain tissue: comparison between hyperspectral imaging and diffuse reflectance spectroscopy. - Marco Lai; Simon Skyrman; Caifeng Shan; Elvira Paulussen; Francesca Manni; Akash Swamy; Drazenko Babic; Erik Edström; Oscar Persson; Gustav Burström; Adrian Elmi Terander; Benno H. W. Hendriks; et al. (Image-Guided Procedures, 2020)

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. - Francesca Manni; Fons van der Sommen; Himar Fabelo; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Samuel Ortega; Gustavo Marrero Callicó; Peter H. N. de With (Sensors, 2020)

Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery. - Francesca Manni; Adrian Elmi Terander; Gustav Burström; Oscar Persson; Erik Edström; Ronald Holthuizen; Caifeng Shan; Svitlana Zinger; Fons van der Sommen; Peter H. N. de With (Sensors, 2020)

Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. - Francesca Manni; Chuchen Cai; Fons van der Sommen; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Peter H. N. de With (Image-Guided Procedures, 2021)

Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy. - Francesca Manni; Cyril J. Ferrer; Celine E. C. Vincent; Marco Lai; Lambertus W. Bartels; Clemens Bos; Fons van der Sommen; Peter H. N. de With (Image-Guided Procedures, 2021)

Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution. - Francesca Manni; Aleksandr Bukharev; Anshul Jain; Shiva Moorthy; Asif Rahman; Anca Bucur (AMIA, 2022)

Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments. - Siddartha Rachakonda; Shiva Moorthy; Anshul Jain; Aleksandr Bukharev; Anca Bucur; Francesca Manni; Thaise M. Quiterio; Lex Joosten; Nancy Irisarri Mendez (IEEE J. Biomed. Health Informatics, 2023)

A historical perspective of biomedical explainable AI research. - Luca Malinverno; Vesna Barros; Francesco Ghisoni; Giovanni Visonà; Roman Kern; Philip J. Nickel; Barbara Elvira Ventura; Ilija Simic; Sarah Stryeck; Francesca Manni; César Ferri; Claire Jean-Quartier; et al. (Patterns, 2023)

3D Decision Support Tool for Brain Tumour Surgery: The STRATUM Project. - Himar Fabelo; Raquel León; Emanuele Torti; Santiago Marco; Max Verbers; Yann Falevoz; Yolanda Ramallo-Fariña; Christian Weis; Ana M. Wägner; Eduardo Juárez Martínez; Claudio Rial; Alfonso Lagares; et al. (DSD, 2024)