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2012.06531
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AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
11 December 2020
Paolo Soda
N. DÁmico
J. Tessadori
G. Valbusa
V. Guarrasi
Chandra Bortolotto
Muhammad Usman Akbar
R. Sicilia
E. Cordelli
Deborah Fazzini
M. Cellina
G. Oliva
Giovanni Callea
Silvia Panella
M. Cariati
D. Cozzi
V. Miele
Elvira Stellato
G. Carrafiello
G. Castorani
A. Simeone
Lorenzo Preda
G. Iannello
Alessio Del Bue
F. Tedoldi
Marco Alì
Diego Sona
S. Papa
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Papers citing
"AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study"
12 / 12 papers shown
Title
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
Shaonan Liu
Wenting Chen
Jie Liu
Xiaoling Luo
Linlin Shen
MedIm
23
1
0
10 Aug 2024
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
Filippo Ruffini
L. Tronchin
Zhuoru Wu
Wenting Chen
Paolo Soda
Linlin Shen
V. Guarrasi
35
10
0
22 May 2024
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
24
22
0
28 Dec 2022
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021)
Aleksandra Suwalska
J. Tobiasz
Wojciech Pra.zuch
M. Socha
P. Foszner
...
E. Szurowska
POLCOVID Study Group
M. Marczyk
A. Cieszanowski
Joanna Polańska
29
3
0
29 Nov 2022
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Pra.zuch
Aleksandra Suwalska
M. Socha
J. Tobiasz
P. Foszner
...
Barbara Gizycka
E. Szurowska
POLCOVID Study Group
M. Marczyk
Joanna Polańska
24
1
0
11 Oct 2022
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data
Tawsifur Rahman
M. Chowdhury
Amith Khandakar
Z. Mahbub
Md. Sakib Hossain
...
Khandaker F. Islam
S. Kashem
Muhammad Salman Khan
S. Zughaier
Maqsud Hossain
21
18
0
15 Jun 2022
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
Sai Vidyaranya Nuthalapati
M. Vizcaychipi
P. Shah
P. Chudzik
C. Leow
Paria Yousefi
Ahmed Selim
K. Tait
B. Irving
OOD
54
1
0
10 May 2022
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
M. Tortora
E. Cordelli
R. Sicilia
Lorenzo Nibid
E. Ippolito
G. Perrone
Sara Ramella
Paolo Soda
17
15
0
26 Apr 2022
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
V. Guarrasi
Paolo Soda
12
23
0
07 Apr 2022
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
M. Chieregato
Fabio Frangiamore
M. Morassi
C. Baresi
S. Nici
C. Bassetti
C. Bnà
M. Galelli
29
74
0
13 May 2021
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
30
54
0
04 Mar 2021
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
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