Search Results - "Donggeun Yoo"

Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning by Park, Jongchan, Lee, Joon-Young, Yoo, Donggeun, Kweon, In So

“…Learning-based color enhancement approaches typically learn to map from input images to retouched images. Most of existing methods require expensive pairs of…”
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Two-Phase Learning for Weakly Supervised Object Localization by Kim, Dahun, Cho, Donghyeon, Yoo, Donggeun, Kweon, In So

“…Weakly supervised semantic segmentation and localization have a problem of focusing only on the most important parts of an image since they use only…”
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Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer by Park, Sehhoon, Ock, Chan-Young, Kim, Hyojin, Pereira, Sergio, Park, Seonwook, Ma, Minuk, Choi, Sangjoon, Kim, Seokhwi, Shin, Seunghwan, Aum, Brian Jaehong, Paeng, Kyunghyun, Yoo, Donggeun, Cha, Hongui, Park, Sunyoung, Suh, Koung Jin, Jung, Hyun Ae, Kim, Se Hyun, Kim, Yu Jung, Sun, Jong-Mu, Chung, Jin-Haeng, Ahn, Jin Seok, Ahn, Myung-Ju, Lee, Jong Seok, Park, Keunchil, Song, Sang Yong, Bang, Yung-Jue, Choi, Yoon-La, Mok, Tony S, Lee, Se-Hoon

“…Biomarkers on the basis of tumor-infiltrating lymphocytes (TIL) are potentially valuable in predicting the effectiveness of immune checkpoint inhibitors (ICI)…”
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Acceleration of electrolyte membrane degradation by frequent activation in PEMFC electrochemical durability evaluation by Yoo, Donggeun, Hwang, Byungchan, Oh, Sohyeong, Park, Kwonpil

“…During the durability tests for PEMFC membranes, performance characterization is conducted to determine the degree of degradation, the interval for which is…”
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Learning a Deep Convolutional Network for Light-Field Image Super-Resolution by Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon

“…Commercial Light-Field cameras provide spatial and angular information, but its limited resolution becomes an important problem in practical use. In this…”
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In Situ Analysis of Binder Degradation during Catalyst-Accelerated Stress Test of Polymer Electrolyte Membrane Fuel Cells by Yoo, Donggeun, Park, Sujung, Oh, Sohyeong, Kim, Minsoo P, Park, Kwonpil

“…High-oxygen-permeability ionomers (HOPIs) are being actively developed to enhance the performance and durability of high-power polymer electrolyte membrane…”
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Change of Mechanical Properties of e-PTFE Support by Electrochemical Degradation in Polymer Electrolyte Membrane Fuel Cell by Yoo, Donggeun, Oh, Sohyeong, Han, Yuhan, Jeong, Jihong, Jung, Sunggi, Park, Kwonpil

“…In polymer electrolyte membrane fuel cell (PEMFC), the cost and durability are main challenges to commercialization. To achieve the long-term durability…”
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AttentionNet: Aggregating Weak Directions for Accurate Object Detection by Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Paek, Anthony S., In So Kweon

“…We present a novel detection method using a deep convolutional neural network (CNN), named AttentionNet. We cast an object detection problem as an iterative…”
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Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases by Jung, Minsun, Song, Seung Geun, Cho, Soo Ick, Shin, Sangwon, Lee, Taebum, Jung, Wonkyung, Lee, Hajin, Park, Jiyoung, Song, Sanghoon, Park, Gahee, Song, Heon, Park, Seonwook, Lee, Jinhee, Kang, Mingu, Park, Jongchan, Pereira, Sergio, Yoo, Donggeun, Chung, Keunhyung, Ali, Siraj M, Kim, So-Woon

“…Accurate classification of breast cancer molecular subtypes is crucial in determining treatment strategies and predicting clinical outcomes. This…”
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Light-Field Image Super-Resolution Using Convolutional Neural Network by Yoon, Youngjin, Jeon, Hae-Gon, Yoo, Donggeun, Lee, Joon-Young, Kweon, In So

“…Commercial light field cameras provide spatial and angular information, but their limited resolution becomes an important problem in practical use. In this…”
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Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer by Choi, Sangjoon, Cho, Soo Ick, Jung, Wonkyung, Lee, Taebum, Choi, Su Jin, Song, Sanghoon, Park, Gahee, Park, Seonwook, Ma, Minuk, Pereira, Sérgio, Yoo, Donggeun, Shin, Seunghwan, Ock, Chan-Young, Kim, Seokhwi

“…Tumor-infiltrating lymphocytes (TILs) have been recognized as key players in the tumor microenvironment of breast cancer, but substantial interobserver…”
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1293 Fragmented pattern of tumor mass is related to fibroblast activation mitigating spatial interaction between tumor and immune cells by Kim, Sukjun, Song, Sanghoon, Kim, Seulki, Kang, Mingu, Mostafavi, Mohammad, Yoo, Donggeun, Ahn, Chang Ho, Ali, Siraj, Ock, Chan-Young

“…BackgroundMicroscopic tumor fragmentation has shown association with the immune landscape of tumor microenvironment (TME).1 The current study aimed to further…”
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Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms by Cho, Hyung-Gyo, Cho, Soo Ick, Choi, Sangjoon, Jung, Wonkyung, Shin, Jiwon, Park, Gahee, Moon, Jimin, Ma, Minuk, Song, Heon, Mostafavi, Mohammad, Kang, Mingu, Pereira, Sergio, Paeng, Kyunghyun, Yoo, Donggeun, Ock, Chan-Young, Kim, Seokhwi

“…Despite the importance of tumor-infiltrating lymphocytes (TIL) and PD-L1 expression to the immune checkpoint inhibitor (ICI) response, a comprehensive…”
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Learning Loss for Active Learning by Yoo, Donggeun, Kweon, In So

“…The performance of deep neural networks improves with more annotated data. The problem is that the budget for annotation is limited. One solution to this is…”
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830 Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype related to APOBEC signature and clonal evolution of cancer by Ock, Chan-Young, Song, Sanghoon, Park, Gahee, Park, Changhee, Cho, Soo Ick, Shin, Seunghwan, Lim, Yoojoo, Jung, Wonkyung, Song, Heon, Ryu, Jeongun, Ma, Minuk, Park, Seonwook, Pereira, Sergio, Yoo, Donggeun, Paeng, Kyunghyun

“…BackgroundLittle is known about bridging clonal heterogeneity into the resistance of immune checkpoint inhibitors (ICI). Recent reports showed that excluded…”
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Study on accelerated stress test and degradation for open cathode stack in polymer electrolyte membrane fuel cell by Yoo, Donggeun, Park, Kwonpil

“…The open cathode polymer electrolyte membrane fuel cell stack has some challenges in performance and durability. Especially, study on the durability of open…”
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Multi-scale pyramid pooling for deep convolutional representation by Yoo, Donggeun, Park, Sunggyun, Lee, Joon-Young, So Kweon, In

“…Compared to image representation based on low-level local descriptors, deep neural activations of Convolutional Neural Networks (CNNs) are richer in mid-level…”
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Photometric Transformer Networks and Label Adjustment for Breast Density Prediction by Jaehwan, Lee, Donggeun, Yoo, Hyo-Eun, Kim

“…Grading breast density is highly sensitive to normalization settings of digital mammogram as the density is tightly correlated with the distribution of pixel…”
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Reducing Domain Gap by Reducing Style Bias by Nam, Hyeonseob, Lee, HyunJae, Park, Jongchan, Yoon, Wonjun, Yoo, Donggeun

“…Convolutional Neural Networks (CNNs) often fail to maintain their performance when they confront new test domains, which is known as the problem of domain…”
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Localized degradation analysis of a polymer electrolyte membrane fuel cell stack depending on cell position after 2,000 h operation by Yoo, Donggeun, Oh, Sohyeong, Choi, Youngjin, Kim, Myong Hwan, Park, Kwonpil

“…In PEMFCs, a stack performance degradation can vary depending on the materials of each component, cell position, and membrane electrode assembly region…”
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