Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Roshan Prakash"'
Autor:
Roshan Prakash Rane, Milena Philomena Maria Musial, Anne Beck, Michael Rapp, Florian Schlagenhauf, Tobias Banaschewski, Arun L.W. Bokde, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Herve Lemaitre, Sarah Hohmann, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter
Publikováno v:
NeuroImage: Clinical, Vol 40, Iss , Pp 103520- (2023)
Binge drinking behavior in early adulthood can be predicted from brain structure during early adolescence with an accuracy of above 70%. We investigated whether this accurate prospective prediction of alcohol misuse behavior can be explained by psych
Externí odkaz:
https://doaj.org/article/c9717a3e7341433e8af349cace1c7b98
Autor:
Roshan Prakash Rane, Evert Ferdinand de Man, JiHoon Kim, Kai Görgen, Mira Tschorn, Michael A Rapp, Tobias Banaschewski, Arun LW Bokde, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A Gowland, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomas Paus, Luise Poustka, Juliane Fröhner, Lauren Robinson, Michael N Smolka, Jeanne Winterer, Robert Whelan, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter, IMAGEN consortium
Publikováno v:
eLife, Vol 11 (2022)
Alcohol misuse during adolescence (AAM) has been associated with disruptive development of adolescent brains. In this longitudinal machine learning (ML) study, we could predict AAM significantly from brain structure (T1-weighted imaging and DTI) with
Externí odkaz:
https://doaj.org/article/9739d305de394da7871dd02984b2c2a2
Autor:
Rane, Roshan Prakash, Kim, JiHoon, Umesha, Arjun, Stark, Didem, Schulz, Marc-André, Ritter, Kerstin
Publikováno v:
MICCAI 2024. Lecture Notes in Computer Science, vol 15010. pp 186 to 196. Springer, Cham
Deep Learning (DL) models have gained popularity in neuroimaging studies for predicting psychological behaviors, cognitive traits, and brain pathologies. However, these models can be biased by confounders such as age, sex, or imaging artifacts from t
Externí odkaz:
http://arxiv.org/abs/2309.15551
Autor:
Rane, Roshan Prakash, Musial, Milena Philomena Maria, Beck, Anne, Rapp, Michael, Schlagenhauf, Florian, Banaschewski, Tobias, Bokde, Arun L.W., Paillère Martinot, Marie-Laure, Artiges, Eric, Nees, Frauke, Lemaitre, Herve, Hohmann, Sarah, Schumann, Gunter, Walter, Henrik, Heinz, Andreas, Ritter, Kerstin
Publikováno v:
In NeuroImage: Clinical 2023 40
Publikováno v:
In Journal of Sound and Vibration 28 April 2017 394:130-145
Autor:
Roshan Prakash Rane, Milena Philomena Maria Musial, Anne Beck, michael rapp, Florian Schlagenhauf, Tobias Banaschewski, Arun L. W. Bokde, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Herve Lemaitre, Sarah Hohmann, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter
Aims: Binge drinking at age 22 can be predicted from adolescent brain structure at age 14 with an accuracy above 70 %. We investigated whether psychometric characteristics such as binge- and addiction-related measures, psychiatric comorbidities, or p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a90366493e5796b1f6b1e5b4196fabf9
https://doi.org/10.31234/osf.io/5vy93
https://doi.org/10.31234/osf.io/5vy93
Publikováno v:
Day 1 Sun, February 19, 2023.
In Greater Burgan Field, Burgan formation is the main oil producing reservoir since the start of oil production and with the reservoir mostly depleted, the focus in the asset team is now on the lower quality Upper Burgan (BGSU) sands with substantial
Autor:
Qasem Dashti, Hanan Abdulrazzaq, Nouf Al-Shammari, Haytham Al-Habashi, Meshal Al-Rumaidhi, Francy Franco, Yaser Muhammad, Roshan Prakash, Samuel Iheanaetu
Publikováno v:
Day 4 Thu, November 03, 2022.
KOC-SEK asset has the main goal of maintaining, increasing, and optimizing the production of the Greater Burgan, the largest clastic reservoir in the World. Discovered in 1938, Greater Burgan is a multilayer formation with large hydrocarbon volumes o
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Publikováno v:
Aptisi Transactions on Technopreneurship (ATT); Vol. 2 No. 2 (2020): September; 112-119
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 112-119
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 112-119
Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet. OCRXNetv1, OCRXNetv2 and