검색어 : 통합검색[Introduction to deep learning :]
총 5,535건 중 1,000건 출력
, 84/100 페이지
-
831
-
Generative Adversarial Networks in Brain Imaging: A Narrative Review
-
Laino, Maria Elena;
Cancian, Pierandrea;
Politi, Letterio Salvatore;
Della Porta, Matteo Giovanni;
Saba, Luca;
Savevski, Victor;
Artificial Intelligence Center, Humanitas Clinical and Research Center—
IRCCS, Via Manzoni 56, 20089 Rozzano, Italy;
pierandrea.cancian@gmail.com (P.C.);
victor.savevski@humanitas.it (V.S.);
Artificial Intelligence Center, Humanitas Clinical and Research Center—
IRCCS, Via Manzoni 56, 20089 Rozzano, Italy;
pierandrea.cancian@gmail.com (P.C.);
victor.savevski@humanitas.it (V.S.);
Department of Radiology, Humanitas Clinical and Research Center—
IRCCS, Via Manzoni 56, 20089 Rozzano, Italy;
letterio.politi@hunimed.eu;
Department of Hematology, Humanitas Clinical and Research Center—
IRCCS, Via Manzoni 56, 20089 Rozzano, Italy;
matteo.della_porta@hunimed.eu;
Department of Radiology, University of Cagliari, 09124 Cagliari, Italy;
lucasaba@unica.it;
Artificial Intelligence Center, Humanitas Clinical and Research Center—
IRCCS, Via Manzoni 56, 20089;
(Journal of imaging,
v.8,
2022,
pp.83)
-
832
-
Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends
-
Feng, Li;
Ma, Dan;
Liu, Fang;
Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York;
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio;
Department of Radiology, Massachusetts General Hospital, Harvard University, Boston, Massachusetts;
(NMR in biomedicine,
v.35,
2022,
pp.e4416)
-
833.
- Scheduling of manufacturing systems with multiple processing alternatives
- Kim, Jun
-
Sungkyunkwan University, 국내박사,
122 p., 2022
-
834.
- Predictive Modeling for Anticipating Technology Convergence through Technology Topic Networks: A Text Mining and Supervised Learning Approach
- AFIFUDIN MOKH
-
국립부경대학교 대학원, 국내박사,
viii, 113, 2024
-
835
-
Deep Learning Techniques for Legal Text Summarization
-
Sheik, Reshma;
Nirmala, S. Jaya;
National Institute of Technology Thiruchirapalli, Tamil Nadu, India;
National Institute of Technology Thiruchirapalli, Tamil Nadu, India;
(Electrical, Electronics and Computer Engineering (UPCON), 2021 IEEE 8th Uttar Pradesh Section International Conference on,
v.2021,
2021,
pp.1-5)
-
836
-
Deep Learning Techniques and Imaging in Otorhinolaryngology—A State-of-the-Art Review
-
Tsilivigkos, Christos;
Athanasopoulos, Michail;
Micco, Riccardo di;
Giotakis, Aris;
Mastronikolis, Nicholas S.;
Mulita, Francesk;
Verras, Georgios-Ioannis;
Maroulis, Ioannis;
Giotakis, Evangelos;
1st Department of Otolaryngology, National and Kapodistrian University of Athens, Hippocrateion Hospital, 115 27 Athens, Greece;
arisgiotakis@gmail.com (A.G.);
giotakis@gmail.com (E.G.);
Department of Otolaryngology, University Hospital of Patras, 265 04 Patras, Greece;
miathanasopoulos@gmail.com (M.A.);
nmastr@otenet.gr (N.S.M.);
Department of Otolaryngology and Head and Neck Surgery, Medical School of Hannover, 30625 Hannover, Germany;
rdm1331991@gmail.com;
1st Department of Otolaryngology, National and Kapodistrian University of Athens, Hippocrateion Hospital, 115 27 Athens, Greece;
arisgiotakis@gmail.com (A.G.);
giotakis@gmail.com (E.G.);
Department of Otolaryngology, University Hospital of Patras, 265 04 Patras, Greece;
miathanasopoulos@gmail.com (M.A.);
nmastr@otenet.gr (N.S.M.);
Department of Surgery, University Hospital of Patras,;
(Journal of clinical medicine,
v.12,
2023,
pp.6973)
-
837.
- 배터리 외관 결함 검사의 정확성 향상을 위한 결함-배경 분리 생성적 대립 신경망
- 구동훈
-
서울대학교 대학원, 국내박사,
x, 138, 2024
-
838
-
Cultivation of Students’ Autonomous Learning Ability in Application-oriented Universities
-
Lou, Lingling;
;
(Theory and practice in language studies,
v.11,
2021,
pp.422-429)
-
839
-
Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning
-
Dixit, Atul Kumar;
Verma, Rajat;
;
(Eai endorsed transactions on pervasive health and technology,
v.9,
2023,
)
-
840
-
GAUSSIAN PROCESSES FOR MACHINE LEARNING
-
SEEGER, MATTHIAS;
Department of EECS, University of California at Berkeley, 485 Soda Hall, Berkeley CA 94720-1776, USA;
(International journal of neural systems,
v.14,
2004,
pp.69-106)