output
20142022
most citedDeep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

172 citations

5 papers

physics.med-ph2022★ 3 cited

The innovative Mn for PET imaging: production cross section modeling and dosimetric evaluation

F. Barbaro, L. Canton, M. P. Carante +4

Background: Recently, the reaction V(,x)Mn has been proposed as a possible alternative to the standard Cr(,x)Mn one, but improvements in the m…

physics.med-ph2020★ 5 cited

Optimizing Radiotherapy Plans for Cancer Treatment with Tensor Networks

Samuele Cavinato, Timo Felser, Marco Fusella +2

We present a novel application of Tensor Network methods in cancer treatment as a potential tool to solve the dose optimization problem in radiotherapy. In particular, the Intensit…

cs.CV2020★ 172 cited

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…

eess.IV2020★ 15 cited

Endoscopy disease detection challenge 2020

Sharib Ali, Noha Ghatwary, Barbara Braden +7

Whilst many technologies are built around endoscopy, there is a need to have a comprehensive dataset collected from multiple centers to address the generalization issues with most…

physics.ins-det2014★ 3 cited

Multigap RPC time resolution to 511 keV annihilation photons

G. Belli, M. Gabusi, G. Musitelli +4

The time resolution of Multigap Resistive Plate Counters (MRPCs) to keV gamma rays has been investigated using a Na source and four detectors. The MRPCs time resolutio…