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1,243 results on '"Kim, Jinman"'

201. Editorial

Author

Kim, Jinman, primary, Papagiannakis, George, additional, Sheng, Bin, additional, and Thalmann, Daniel, additional

Published
2023
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205. Editorial

Author

Kim, Jinman, primary, Papagiannakis, George, additional, Sheng, Bin, additional, and Thalmann, Daniel, additional

Published
2022
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206. Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring

Author

Kalbas, Yannik, Jung, Hoijoon, Ricklin, John, Jin, Ge, Li, Mingjian, Rauer, Thomas, Dehghani, Shervin, Navab, Nassir, Kim, Jinman, Pape, Hans-Christoph, Heining, Sandro-Michael, University of Zurich, and Kalbas, Yannik

Subjects
remote interactive surgery platform, 1707 Computer Vision and Pattern Recognition, 2208 Electrical and Electronic Engineering, RISP, 610 Medicine & health, Computer Graphics and Computer-Aided Design, 1704 Computer Graphics and Computer-Aided Design, augmented reality, ddc, Article, telementoring, AR-assisted surgery, MR-HMD, HoloLens2, 10021 Department of Trauma Surgery, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
Abstract

The “Remote Interactive Surgery Platform” (RISP) is an augmented reality (AR)-based platform for surgical telementoring. It builds upon recent advances of mixed reality head-mounted displays (MR-HMD) and associated immersive visualization technologies to assist the surgeon during an operation. It enables an interactive, real-time collaboration with a remote consultant by sharing the operating surgeon’s field of view through the Microsoft (MS) HoloLens2 (HL2). Development of the RISP started during the Medical Augmented Reality Summer School 2021 and is currently still ongoing. It currently includes features such as three-dimensional annotations, bidirectional voice communication and interactive windows to display radiographs within the sterile field. This manuscript provides an overview of the RISP and preliminary results regarding its annotation accuracy and user experience measured with ten participants.

Published
2023
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210. Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features

Author

Bi, Lei, Fu, Xiaohang, Liu, Qiufang, Song, Shaoli, Feng, David Dagan, Fulham, Michael, and Kim, Jinman

Subjects
FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

[18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed tomography (PET-CT) has become the imaging modality of choice for diagnosing many cancers. Co-learning complementary PET-CT imaging features is a fundamental requirement for automatic tumor segmentation and for developing computer aided cancer diagnosis systems. We propose a hyper-connected transformer (HCT) network that integrates a transformer network (TN) with a hyper connected fusion for multi-modality PET-CT images. The TN was leveraged for its ability to provide global dependencies in image feature learning, which was achieved by using image patch embeddings with a self-attention mechanism to capture image-wide contextual information. We extended the single-modality definition of TN with multiple TN based branches to separately extract image features. We introduced a hyper connected fusion to fuse the contextual and complementary image features across multiple transformers in an iterative manner. Our results with two non-small cell lung cancer and soft-tissue sarcoma datasets show that HCT achieved better performance in segmentation accuracy when compared to state-of-the-art methods. We also show that HCT produces consistent performance across various image fusion strategies and network backbones., 18 Pages

Published
2022

212. Computer graphics for metaverse

Author

Thalmann, Nadia Magnenat, primary, Kim, Jinman, additional, Papagiannakis, George, additional, Thalmann, Daniel, additional, and Sheng, Bin, additional

Published
2022
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217. Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data

Author

Schmid, Jérôme, Kim, Jinman, Magnenat-Thalmann, Nadia, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
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220. Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine

Author

Schmid, Jérôme, Nijdam, Niels, Han, Seunghyun, Kim, Jinman, Magnenat-Thalmann, Nadia, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Magnenat-Thalmann, Nadia, editor

Published
2009
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223. Experimental Study on the Properties of Autoclave Curing High-Strength Concrete According to CaO/SiO 2 Ratio.

Author

Ra, Jeongmin, Shin, Sangchul, and Kim, Jinman

Subjects
CONCRETE curing, CALCIUM silicate hydrate, AUTOCLAVES, COMPRESSIVE strength, SILICA fume, EFFECT of temperature on concrete
Abstract

In this experimental study, tests were conducted to obtain the CaO/SiO2 (C/S) molar ratio that minimizes the micropores of hardened concrete. To this end, the compressive strength, thermogravimetric analysis (TGA), and microporous structure of hardened concrete were investigated using concrete specimens made with silica fume and quartz powder under high-temperature/high-pressure conditions. The tests yielded the following results: (1) the highest compressive strength (200 MP) was exhibited in the C/S molar ratio range of 0.7–0.9, and lower compressive strength was exhibited in the C/S molar ratio ranges of ≤ 0.6 and ≥ 0.95; (2) the productivity of calcium silicate hydrate (C-S-H) tended to increase in proportion to the C/S molar ratio in all specimens; (3) the microstructure was measured using mercury intrusion porosimetry (MIP), and the maximum total porosity of specimens was calculated to be 10%. As the C/S molar ratio increased, the total porosity decreased, as did the pore diameter and threshold pore diameter. Thus, C/S molar ratio was found to be a major factor affecting the compressive strength and microporous structure of autoclave-cured cement and the optimal mechanical properties were exhibited in the C/S molar ratio of 0.8–0.9. However, the reactivity varies depending on the material used and curing conditions employed. Therefore, the hydration products obtained using the curing conditions need to be investigated further. [ABSTRACT FROM AUTHOR]

Published
2023
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229. Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI

Author

Yuan, Yuan, Ahn, Euijoon, Feng, Dagan, Khadra, Mohamad, Kim, Jinman, Yuan, Yuan, Ahn, Euijoon, Feng, Dagan, Khadra, Mohamad, and Kim, Jinman

Abstract

Prostate cancer (PCa) is one of the most prevalent cancers in men and many people around the world die from clinically significant PCa (csPCa). Early diagnosis of csPCa in bi-parametric MRI (bpMRI), which is non-invasive, cost-effective, and more efficient compared to multiparametric MRI (mpMRI), can contribute to precision care for PCa. The rapid rise in artificial intelligence (AI) algorithms are enabling unprecedented improvements in providing decision support systems that can aid in csPCa diagnosis and understanding. However, existing state of the art AI algorithms which are based on deep learning technology are often limited to 2D images that fails to capture inter-slice correlations in 3D volumetric images. The use of 3D convolutional neural networks (CNNs) partly overcomes this limitation, but it does not adapt to the anisotropy of images, resulting in sub-optimal semantic representation and poor generalization. Furthermore, due to the limitation of the amount of labelled data of bpMRI and the difficulty of labelling, existing CNNs are built on relatively small datasets, leading to a poor performance. To address the limitations identified above, we propose a new Zonal-aware Self-supervised Mesh Network (Z-SSMNet) that adaptatively fuses multiple 2D, 2.5D and 3D CNNs to effectively balance representation for sparse inter-slice information and dense intra-slice information in bpMRI. A self-supervised learning (SSL) technique is further introduced to pre-train our network using unlabelled data to learn the generalizable image features. Furthermore, we constrained our network to understand the zonal specific domain knowledge to improve the diagnosis precision of csPCa. Experiments on the PI-CAI Challenge dataset demonstrate our proposed method achieves better performance for csPCa detection and diagnosis in bpMRI., Comment: 8 pages, 1 figure, PI-CAI challenge

Published
2022

238. Technologies for mHealth

Author

Kim, Jinman, primary, Lemon, Christopher, additional, Baldacchino, Tanya, additional, Khadra, Mohamed, additional, and Feng, Dagan, additional

Published
2015
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239. Design of sliding mode control system for automatic mooring devices for vessels

Author

Heon-Hui Kim, Kim JinMan, and Taek-Kun Nam

Subjects
Control theory, Computer science, Mooring, Sliding mode control
Abstract

자동 계류 장치는 기존의 로프 기반의 계류 방식이 아닌 선체부착장치와 매니퓰레이터 메커니즘으로 구성된 새로운 개념의 선박 계류 장치이다. 본 논문은 자동 계류 장치를 이용한 선박의 계류 상황을 고려하여, 외란에 의해 동요하는 선박을 안정적으로 계류시키기 위한 제어 기법을 다룬다. 문제의 단순화와 더불어 자동계류를 위한 제어기 설계에 초점을 맞추기 위해 선박의 운동방정식은 스웨이-히브-롤 축에 대한 3자유도 운동방정식을 고려한다. 매니퓰레이터 메커니즘은 2자유도 회전관절을 가진 것으로 가정한 후 외란에 의해 동요하는 선박의 위치를 안정화시킬 수 있는 슬라이딩 모드 제어기를 설계한다. 본 논문에서 제안된 자동 계류 제어기법은 몇 가지 외란 조건에 대한 시뮬레이션을 통해 효용성이 평가된다.

Published
2019

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