Zobrazeno 1 - 10
of 14 988
pro vyhledávání: '"Kim, Su In"'
An electrocardiogram (ECG) captures the heart's electrical signal to assess various heart conditions. In practice, ECG data is stored as either digitized signals or printed images. Despite the emergence of numerous deep learning models for digitized
Externí odkaz:
http://arxiv.org/abs/2408.02888
Generalizability in deep neural networks plays a pivotal role in medical image segmentation. However, deep learning-based medical image analyses tend to overlook the importance of frequency variance, which is critical element for achieving a model th
Externí odkaz:
http://arxiv.org/abs/2405.06284
Autor:
Li, Jun, Kim, Su Hwan, Müller, Philip, Felsner, Lina, Rueckert, Daniel, Wiestler, Benedikt, Schnabel, Julia A., Bercea, Cosmin I.
This research explores the integration of language models and unsupervised anomaly detection in medical imaging, addressing two key questions: (1) Can language models enhance the interpretability of anomaly detection maps? and (2) Can anomaly maps im
Externí odkaz:
http://arxiv.org/abs/2404.07622
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. Our approach allows labeled training data to be recorded without the ne
Externí odkaz:
http://arxiv.org/abs/2402.17790
Autor:
Kueper, Niklas, Chari, Kartik, Bütefür, Judith, Habenicht, Julia, Kim, Su Kyoung, Rossol, Tobias, Tabie, Marc, Kirchner, Frank, Kirchner, Elsa Andrea
Publikováno v:
Front. Hum. Neurosci. 18 (2024)
This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm by an active orthosis device. The supported movements were elbow joint
Externí odkaz:
http://arxiv.org/abs/2305.11996
Publikováno v:
The 37th AAAI conference on artificial intelligence (AAAI 2023)
Recently, graph neural networks (GNNs) have been successfully applied to predicting molecular properties, which is one of the most classical cheminformatics tasks with various applications. Despite their effectiveness, we empirically observe that tra
Externí odkaz:
http://arxiv.org/abs/2302.13693
Autor:
Kim, Young‐Kyeong1,2 (AUTHOR), Kim, Su‐Yeon1,3 (AUTHOR), Joo, Yongho1 (AUTHOR), Jang, Se Gyu1 (AUTHOR), Choi, Siyoung Q.2 (AUTHOR) sqchoi@kaist.ac.kr, Lee, Sang Seok1 (AUTHOR) sslee@kist.re.kr
Publikováno v:
Small Structures. Dec2024, Vol. 5 Issue 12, p1-9. 9p.
Autor:
Kim, Su Cheol1 (AUTHOR), Yoo, Seung Jin1 (AUTHOR), Jo, Je Hyeong1 (AUTHOR), Lee, Jong Hyun1 (AUTHOR), Baek, Eugene1 (AUTHOR), Lee, Sang Min1 (AUTHOR), Yoo, Jae Chul1 (AUTHOR) shoulderyoo@gmail.com
Publikováno v:
Clinics in Shoulder & Elbow. Dec2024, Vol. 27 Issue 4, p437-446. 10p.
Autor:
Kim, Su-Il1 (AUTHOR) avantetop@hanmail.net, Jang, Yun-Deok2 (AUTHOR) jangyundeok@naver.com, Ji, Jae-Gu2 (AUTHOR), Kim, Yong-Seok3 (AUTHOR) ys031113@konyang.ac.kr, Kang, In-Hye4 (AUTHOR) emtkih@hanmail.net, Kim, Seong-Ju5 (AUTHOR) superemt@naver.com, Han, Seong-Min6 (AUTHOR) han@seoyeong.ac.kr, Choi, Min-Seok7 (AUTHOR) dreebok@naver.com
Publikováno v:
Journal of Clinical Medicine. Nov2024, Vol. 13 Issue 22, p6912. 14p.
Autor:
Kim, Su Il1 (AUTHOR), Lee, Young Chan1 (AUTHOR), Kim, Ji Won2 (AUTHOR), Kim, Bo-Hyung3,4 (AUTHOR), Lee, Junhee5 (AUTHOR) ssljh@khu.ac.kr, Eun, Young-Gyu6 (AUTHOR) ygeun@khu.ac.kr
Publikováno v:
PLoS ONE. 11/11/2024, Vol. 19 Issue 11, p1-12. 12p.