Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network von Kang, Eunhee, Chang, Won, Yoo, Jaejun, Ye, Jong Chul

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Machine Learning for Medical Image Reconstruction: 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings von Haq, Nandinee, Johnson, Patricia, Maier, Andreas, Qin, Chen, Würfl, Tobias, Yoo, Jaejun

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Enhancing Optical Camera Communication Performance for Collaborative Communication Using Positioning Information von Utama, Ida Bagus Krishna Yoga, Sitanggang, Ones Sanjerico, Nasution, Muhammad Rangga Aziz, Joha, Md. Ibne, Yoo, Jaejun, Jang, Yeong Min

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Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings von Haq, Nandinee, Johnson, Patricia, Maier, Andreas, Würfl, Tobias, Yoo, Jaejun

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Deep learning with domain adaptation for accelerated projection‐reconstruction MR von Han, Yoseob, Yoo, Jaejun, Kim, Hak Hee, Shin, Hee Jung, Sung, Kyunghyun, Ye, Jong Chul

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Time-Dependent Deep Image Prior for Dynamic MRI von Yoo, Jaejun, Jin, Kyong Hwan, Gupta, Harshit, Yerly, Jerome, Stuber, Matthias, Unser, Michael

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Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson’s Disease von Ghahremani, Maryam, Yoo, Jaejun, Chung, Sun Ju, Yoo, Kwangsun, Ye, Jong C., Jeong, Yong

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Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation von Ahn, Namhyuk, Yoo, Jaejun, Sohn, Kyung-Ah

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Bridging the Domain Gap: A Simple Domain Matching Method for Reference-Based Image Super-Resolution in Remote Sensing von Min, Jeongho, Lee, Yejun, Kim, Dongyoung, Yoo, Jaejun

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Universal Dehazing via Haze Style Transfer von Park, Eunpil, Yoo, Jaejun, Sim, Jae-Young

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Dynamic Fourier ptychography with deep spatiotemporal priors von Bohra, Pakshal, Pham, Thanh-an, Long, Yuxuan, Yoo, Jaejun, Unser, Michael

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Deep Learning Diffuse Optical Tomography von Yoo, Jaejun, Sabir, Sohail, Heo, Duchang, Kim, Kee Hyun, Wahab, Abdul, Choi, Yoonseok, Lee, Seul-I, Chae, Eun Young, Kim, Hak Hee, Bae, Young Min, Choi, Young-Wook, Cho, Seungryong, Ye, Jong Chul

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Machine Learning for Medical Image Reconstruction Image Processing, Computer Vision, Pattern Recognition, and Graphics: 4th International Workshop, MLMIR 2021, Held in Conjunction... von Haq, Nandinee, Johnson, Patricia, Maier, Andreas, Wurfl, Tobias, Yoo, Jaejun

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Efficient Iϵ/I-Approximate Ik/I-Flexible Aggregate Nearest Neighbor Search for Arbitrary Iϵ/I in Road Networks von Kwon, Hyuk-Yoon, Yoo, Jaejun, Loh, Woong-Kee

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A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING von YOO, JAEJUN, WAHAB, ABDUL, YE, JONG CHUL

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Style harmonization of panoramic radiography using deep learning von Kim, Hak-Sun, Seol, Jaejung, Lee, Ji-Yun, Han, Sang-Sun, Yoo, Jaejun, Lee, Chena

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Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages von Yoo, Jaejun, Kim, Eun Young, Ahn, Yong Min, Ye, Jong Chul

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Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks von Gupta, Harshit, Phan, Thong H., Yoo, Jaejun, Unser, Michael

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Efficient ϵ-Approximate k-Flexible Aggregate Nearest Neighbor Search for Arbitrary ϵ in Road Networks von Kwon, Hyuk-Yoon, Yoo, Jaejun, Loh, Woong-Kee

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Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

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