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pro vyhledávání: '"Renzulli, P."'
Since the introduction of NeRFs, considerable attention has been focused on improving their training and inference times, leading to the development of Fast-NeRFs models. Despite demonstrating impressive rendering speed and quality, the rapid converg
Externí odkaz:
http://arxiv.org/abs/2407.10389
Autor:
Patrício, Cristiano, Barbano, Carlo Alberto, Fiandrotti, Attilio, Renzulli, Riccardo, Grangetto, Marco, Teixeira, Luis F., Neves, João C.
Contrastive Analysis (CA) regards the problem of identifying patterns in images that allow distinguishing between a background (BG) dataset (i.e. healthy subjects) and a target (TG) dataset (i.e. unhealthy subjects). Recent works on this topic rely o
Externí odkaz:
http://arxiv.org/abs/2406.00772
Autor:
Renzulli, Riccardo
Capsule networks (CapsNets) were introduced to address convolutional neural networks limitations, learning object-centric representations that are more robust, pose-aware, and interpretable. They organize neurons into groups called capsules, where ea
Externí odkaz:
http://arxiv.org/abs/2405.19861
Autor:
Barbano, Carlo Alberto, Renzulli, Riccardo, Grosso, Marco, Basile, Domenico, Busso, Marco, Grangetto, Marco
In this paper, we present the major results from the Covid Radiographic imaging System based on AI (Co.R.S.A.) project, which took place in Italy. This project aims to develop a state-of-the-art AI-based system for diagnosing Covid-19 pneumonia from
Externí odkaz:
http://arxiv.org/abs/2405.11598
Autor:
Shayan Smani, Vinaik Sundaresan, Soum D. Lokeshwar, Ankur U. Choksi, Jeffrey Carbonella, Joseph Brito, Joseph Renzulli, Preston Sprenkle, Michael S. Leapman
Publikováno v:
Exploration of Targeted Anti-tumor Therapy, Vol 5, Iss 4, Pp 987-996 (2024)
Accurate identification of prostate cancer Gleason grade group remains an important component of the initial management of clinically localized disease. However, Gleason score upgrading (GSU) from biopsy to radical prostatectomy can occur in up to a
Externí odkaz:
https://doaj.org/article/f6b79ba0f63945878952899cd712c418
Autor:
Bernardo Stefanini, Luca Ielasi, Andrea Casadei-Gardini, Michele Piscopo, Raffaella Tortora, Lorenzo Lani, Tiziana Pressiani, Vito Sansone, Rodolfo Sacco, Giulia Magini, Matteo Renzulli, Francesco Giuseppe Foschi, Fabio Piscaglia, Francesco Tovoli, Alessandro Granito
Publikováno v:
Gastroenterology Insights, Vol 15, Iss 3, Pp 519-529 (2024)
Background: Transarterial chemoembolisation (TACE) and radioembolisation (TARE) can lead to the deterioration of liver function, especially in cases of a high tumour burden, potentially lessening the benefits of subsequent systemic treatments. We aim
Externí odkaz:
https://doaj.org/article/f390a1679a3240d0ba637ca319b9580b
Autor:
Isaac E. Kim, Jr., Aaron H. Wang, George S. Corpuz, Preston C. Sprenkle, Michael S. Leapman, Joseph M. Brito, Joseph Renzulli, Isaac Yi Kim
Publikováno v:
Prostate International, Vol 12, Iss 2, Pp 70-78 (2024)
Introduction: Although the clinical benefits of pelvic lymph node dissection (PLND) at the time of radical prostatectomy for prostate cancer remain uncertain, major guidelines recommend PLND based on risk profile. Thus, the objective of this study wa
Externí odkaz:
https://doaj.org/article/16f5754bf9c94e5b8e3a3983009d1d7e
Localization of autonomous unmanned aerial vehicles (UAVs) relies heavily on Global Navigation Satellite Systems (GNSS), which are susceptible to interference. Especially in security applications, robust localization algorithms independent of GNSS ar
Externí odkaz:
http://arxiv.org/abs/2212.03581
Autor:
Soum D. Lokeshwar, Ather Ali, Theresa R. Weiss, Jesse Reynolds, Brian M. Shuch, Thomas Ferencz, Tassos C. Kyriakides, Wajahat Z. Mehal, Joseph Brito, Joseph Renzulli, Michael S. Leapman
Publikováno v:
BMC Urology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Fermented soy products have shown to possess inhibitory effects on prostate cancer (PCa). We evaluated the effect of a fermented soy beverage (Q-Can®), containing medium-chain triglycerides, ketones and soy isoflavones, among men
Externí odkaz:
https://doaj.org/article/9dd1979fe88b47debf39ceedcf0ecc57
Autor:
Renzulli, Riccardo, Grangetto, Marco
From the moment Neural Networks dominated the scene for image processing, the computational complexity needed to solve the targeted tasks skyrocketed: against such an unsustainable trend, many strategies have been developed, ambitiously targeting per
Externí odkaz:
http://arxiv.org/abs/2208.09203