Retrograde Pull-through Approach with Double Guiding Catheters When Antegrade Left Ventricular Lead Implantation Is InfeasibleNovel Teaching Points by Yuhei Kasai, MD, Junji Morita, MD, Takayuki Kitai, MD, Yumetsugu Munakata, Kota Suzuki, Takuya Okada, Jungo Kasai, PhD, Tsutomu Fujita, MD

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An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs) by Zhiyao Xiao, Guobao Zhang

“…Evaluations on the Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago (KITTI) odometry benchmark demonstrate the effectiveness of our framework.…”
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Robust semantic SLAM for autonomous robot by Goh, Xue Zhe

“…The test dataset is downloaded from ”The KITTI Vision Benchmark Suite” dataset, provided by Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago. The performance of the two models will be also tested under low-light conditions in anticipation of the performance of SuperPoint.…”
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Automated Algorithm for Removing Clutter Objects in MMS Point Cloud for 3D Road Mapping by Jisang Lee, Suhong Yoo, Seunghwan Hong, Mohammad Gholami Farkoushi, Junsu Bae, Ilsuk Park, Hong-Gyoo Sohn

“…By applying the method to 10 KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago) datasets, clutter objects were removed with an average overall accuracy of 91% with 0% (0.448%) error of commission for the complete point cloud map.…”
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SDAN-MD: Supervised dual attention network for multi-stage motion deblurring in frontal-viewing vehicle-camera images by Seong In Jeong, Min Su Jeong, Seon Jong Kang, Kyung Bong Ryu, Kang Ryoung Park

“…In addition to Charbonnier loss and edge loss, we use perceptual loss utilizing Euclidean distance based on feature maps obtained from the segmentation network.Experiments were conducted with the motion blurred databases from the two open databases of road scene, Cambridge driving Labeled Video Database (CamVid) and Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago (KITTI).The results show that the proposed SDAN-MD achieves 92.89% and 87.27% pixel accuracies in semantic segmentation using these two databases, respectively, outperforming the state-of-the-art methods.…”
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EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides by Ruiquan Ge, Guanwen Feng, Xiaoyang Jing, Renfeng Zhang, Pu Wang, Qing Wu

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Metabolic independence drives gut microbial colonization and resilience in health and disease by Andrea R. Watson, Jessika Füssel, Iva Veseli, Johanna Zaal DeLongchamp, Marisela Silva, Florian Trigodet, Karen Lolans, Alon Shaiber, Emily Fogarty, Joseph M. Runde, Christopher Quince, Michael K. Yu, Arda Söylev, Hilary G. Morrison, Sonny T. M. Lee, Dina Kao, David T. Rubin, Bana Jabri, Thomas Louie, A. Murat Eren

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Overcoming mutation-based resistance to antiandrogens with rational drug design by Minna D Balbas, Michael J Evans, David J Hosfield, John Wongvipat, Vivek K Arora, Philip A Watson, Yu Chen, Geoffrey L Greene, Yang Shen, Charles L Sawyers

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Struct2Net: a web service to predict protein–protein interactions using a structure-based approach by Singh, Rohit, Park, Daniel Kyu, Xu, Jinbo, Hosur, Raghavendra, Berger, Bonnie

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Polymorphic Immune Mechanisms Regulate Commensal Repertoire by Aly A. Khan, Leonid Yurkovetskiy, Kelly O’Grady, Joseph M. Pickard, Renée de Pooter, Dionysios A. Antonopoulos, Tatyana Golovkina, Alexander Chervonsky

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CAM-FRN: Class Attention Map-Based Flare Removal Network in Frontal-Viewing Camera Images of Vehicles by Seon Jong Kang, Kyung Bong Ryu, Min Su Jeong, Seong In Jeong, Kang Ryoung Park

“…We synthesized a lens flare using the Cambridge-driving Labeled Video Database (CamVid) and Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago (KITTI) datasets, which are road scene open datasets. …”
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