Sketch-based multidimensional IDS: A new approach for network anomaly detection. - Christian Callegari; Alessandro Casella; Stefano Giordano; Michele Pagano; Teresa Pepe (CNS, 2013)

NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos. - Alessandro Casella; Sara Moccia; Chiara Carlini; Emanuele Frontoni; Elena De Momi; Leonardo S. Mattos (ICPR, 2020)

FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Sara Moccia; George Attilakos; Ruwan Wimalasundera; Anna L. David; Dario Paladini; Jan Deprest; Elena De Momi; Leonardo S. Mattos; Danail Stoyanov (CoRR, 2021)

A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation. - Alessandro Casella; Sara Moccia; Dario Paladini; Emanuele Frontoni; Elena De Momi; Leonardo S. Mattos (Medical Image Anal., 2021)

Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. - Alessandro Casella; Sara Moccia; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Alexa Bicelli; Dario Paladini; Elena De Momi; Leonardo S. Mattos (ICIAP Workshops, 2022)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning. - Francesca Pia Villani; Alberto Paderno; Maria Chiara Fiorentino; Alessandro Casella; Cesare Piazza; Sara Moccia (EMBC, 2023)

Reducing Workload During Brain Surgery with Robot-Assisted Autonomous Exoscope. - Elisa Iovene; Alessandro Casella; Junling Fu; Federico Pessina; Marco Riva; Giancarlo Ferrigno; Elena De Momi (IROS, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

Surgical data science for computer-aided surgery in fetoscopy - Alessandro Casella (2023)

Toward a navigation framework for fetoscopy. - Alessandro Casella; Chiara Lena; Sara Moccia; Dario Paladini; Elena De Momi; Leonardo S. Mattos (Int. J. Comput. Assist. Radiol. Surg., 2023)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 2024)

Learning-based keypoint registration for fetoscopic mosaicking. - Alessandro Casella; Sophia Bano; Francisco Vasconcelos 001; Anna L. David; Dario Paladini; Jan Deprest; Elena De Momi; Leonardo S. Mattos; Sara Moccia; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2024)

A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis. - Vincenzo Randazzo; Alessandro Casella; Silvia Caligari; Fiorenzo Gaita; Carla Giustetto; Eros Pasero (MeMeA, 2025)