BiS-Journal Papers(저널논문)

Recent Items

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 2129

1
Convolutional neural network model to predict causal risk factors that share complex regulatory features

Lee, Taeyeop; Sung, Min Kyung; Lee, Seulkee; Yang, Woojin; Oh, Jaeho; Kim, Jeong Yeon; Hwang, Seongwon; et al, NUCLEIC ACIDS RESEARCH, v.47, no.22, pp.e146 - e146, 2019-12

2
FP2VEC: a new molecular featurizer for learning molecular properties

Jeon, Woosung; Kim, Dongsupresearcher, BIOINFORMATICS, v.35, no.23, pp.4979 - 4985, 2019-12

3
Network Inference Analysis Identifies SETDB1 as a Key Regulator for Reverting Colorectal Cancer Cells into Differentiated Normal-Like Cells

Lee, Soobeom; Lee, Chansu; Hwang, Chae Young; Kim, Dongsan; Han, Younghyun; Hong, Sung Noh; Kim, Seok-Hyung; et al, MOLECULAR CANCER RESEARCH, v.18, no.1, pp.118 - 129, 2020-01

4
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

Ravishankar, Saiprasad; Ye, Jong Chulresearcher; Fessler, Jeffrey A., PROCEEDINGS OF THE IEEE, v.108, no.1, pp.86 - 109, 2020-01

5
Chips-on-a-plate device for monitoring cellular migration in a microchannel-based intestinal follicle-associated epithelium model

Lee ,Young; Kim, Soo Jee; Park, Je-Kyunresearcher, BIOMICROFLUIDICS, v.13, no.6, 2019-11

6
Optimization of a microarray for fission yeast

Kim, Dong-Uk; Lee, Minho; Han, Sangjo; Nam, Miyoung; Lee, Sol; Lee, Jaewoong; Woo, Jihye; et al, Genomics & Informatics, v.17, no.3, pp.e28 - e28, 2019-06

7
Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning

Kim, Dongjae; Park, Geon Yeong; O'Doherty, John P.; Lee, Sang Wanresearcher, NATURE COMMUNICATIONS, v.10, 2019-12

8
Locally Activating TrkB Receptor Generates Actin Waves and Specifies Axonal Fate

Woo, Doyeon; Seo, Yeji; Jung, Hyunjin; Kim, Sungsoo; Kim, Nury; Park, Sang-Min; Lee, Heeyoung; et al, CELL CHEMICAL BIOLOGY, v.26, no.12, pp.1652 - +, 2019-12

9
A 3 mm x 3 mm Fully Integrated Wireless Power Receiver and Neural Interface System-on-Chip

Kim, Chulresearcher; Park, Jiwoong; Ha, Sohmyung; Akinin, Abraham; Kubendran, Rajkumar; Mercier, Patrick P.; Cauwenberghs, Gert, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, v.13, no.6, pp.1736 - 1746, 2019-12

10
In-Silico Molecular Binding Prediction for Human Drug Targets Using Deep Neural Multi-Task Learning

Lee, Kyoungyeul; Kim, Dongsupresearcher, GENES, v.10, no.11, 2019-11

11
Extracellular vesicle (EV)-polyphenol nanoaggregates for microRNA-based cancer diagnosis

Jang, Minjeong; Choi, Giwoong; Choi, Yoon Young; Lee, Jae Eun; Jung, Jik-Han; Oh, Seung Won; Han, Dai Hoon; et al, NPG ASIA MATERIALS, v.11, 2019-12

12
Distinct role of flexible and stable encodings in sequential working memory

Lee, Hyeonsu; Choi, Woochul; Park, Youngjin; Paik, Se-Bumresearcher, NEURAL NETWORKS, v.121, pp.419 - 429, 2020-01

13
International Federation of Clinical Neurophysiology (IFCN) - EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Babiloni, Claudio; Barry, Robert J.; Basar, Erol; Blinowska, Katarzyna J.; Cichocki, Andrzej; Drinkenburg, Wilhelmus H. I. M.; Klimesch, Wolfgang; et al, CLINICAL NEUROPHYSIOLOGY, v.131, no.1, pp.285 - 307, 2020-01

14
Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach

Ahn, Hyun-Seo; Park, Sung-Hong; Ye, Jong Chulresearcher, MAGNETIC RESONANCE IN MEDICINE, v.83, no.3, pp.858 - 871, 2020-03

15
Minireview - Microtubules and Tubulin Oligomers: Shape Transitions and Assembly by Intrinsically Disordered Protein Tau and Cationic Biomolecules

Safinya, Cyrus R.; Chung, Peter J.; Song, Chaeyeon; Li, Youli; Miller, Herbert P.; Choi, Myung Chulresearcher; Raviv, Uri; et al, LANGMUIR, v.35, no.48, pp.15970 - 15978, 2019-12

16
What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons

Babiloni, Claudio; Blinowska, Katarzyna; Bonanni, Laura; Cichocki, Andrej; De Haan, Willem; Del Percio, Claudio; Dubois, Bruno; et al, NEUROBIOLOGY OF AGING, v.85, pp.58 - 73, 2020-01

17
MumfordShah Loss Functional for Image Segmentation With Deep Learning

Kim, Boah; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2021-08

18
Circulating tumor cells are associated with poor outcomes in early-stage hepatocellular carcinoma: a prospective study

Ha, Yeonjung; Kim, Tae Hun; Shim, Jae Eul; Yoon, Sunghyun; Jun, Mi Jung; Cho, Young-Horesearcher; Lee, Han Chu, HEPATOLOGY INTERNATIONAL, v.13, no.6, pp.726 - 735, 2019-11

19
Electronic Skin: Recent Progress and Future Prospects for Skin-Attachable Devices for Health Monitoring, Robotics, and Prosthetics

Yang, Junchang; Mun, Jaewan; Kwon, Se Young; Park, Seongjunresearcher; Bao, Zhenan; Park, Steveresearcher, ADVANCED MATERIALS, v.31, no.48, pp.1904765, 2019-11

20
k-Space deep learning for reference-free EPI ghost correction

Lee, Juyoung; Han, Yoseob; Ryu, Jae-Kyun; Park, Jang-Yeon; Ye, Jong Chulresearcher, MAGNETIC RESONANCE IN MEDICINE, v.82, no.6, pp.2299 - 2313, 2019-12

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