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181 results on '"Chen, Bailiang"'

1. Deep Reinforcement Learning for Flipper Control of Tracked Robots

Author

Pan, Hainan, Chen, Bailiang, Huang, Kaihong, Ren, Junkai, Chen, Xieyuanli, and Lu, Huimin

Subjects
Computer Science - Robotics
Abstract

The autonomous control of flippers plays an important role in enhancing the intelligent operation of tracked robots within complex environments. While existing methods mainly rely on hand-crafted control models, in this paper, we introduce a novel approach that leverages deep reinforcement learning (DRL) techniques for autonomous flipper control in complex terrains. Specifically, we propose a new DRL network named AT-D3QN, which ensures safe and smooth flipper control for tracked robots. It comprises two modules, a feature extraction and fusion module for extracting and integrating robot and environment state features, and a deep Q-Learning control generation module for incorporating expert knowledge to obtain a smooth and efficient control strategy. To train the network, a novel reward function is proposed, considering both learning efficiency and passing smoothness. A simulation environment is constructed using the Pymunk physics engine for training. We then directly apply the trained model to a more realistic Gazebo simulation for quantitative analysis. The consistently high performance of the proposed approach validates its superiority over manual teleoperation.

Published
2023

3. Automated Final Lesion Segmentation in Posterior Circulation Acute Ischemic Stroke Using Deep Learning.

Author

Zoetmulder, Riaan, Konduri, Praneeta, Obdeijn, Iris, Gavves, Efstratios, Išgum, Ivana, Majoie, Charles, Dippel, Diederik, Roos, Yvo, Goyal, Mayank, Mitchell, Peter, Campbell, Bruce, Lopes, Demetrius, Reimann, Gernot, Jovin, Tudor, Saver, Jeffrey, Muir, Keith, White, Phil, Bracard, Serge, Chen, Bailiang, Brown, Scott, Schonewille, Wouter, van der Hoeven, Erik, Puetz, Volker, and Marquering, Henk

Subjects
CT, deep learning, posterior stroke, segmentation, transfer learning
Abstract

Final lesion volume (FLV) is a surrogate outcome measure in anterior circulation stroke (ACS). In posterior circulation stroke (PCS), this relation is plausibly understudied due to a lack of methods that automatically quantify FLV. The applicability of deep learning approaches to PCS is limited due to its lower incidence compared to ACS. We evaluated strategies to develop a convolutional neural network (CNN) for PCS lesion segmentation by using image data from both ACS and PCS patients. We included follow-up non-contrast computed tomography scans of 1018 patients with ACS and 107 patients with PCS. To assess whether an ACS lesion segmentation generalizes to PCS, a CNN was trained on ACS data (ACS-CNN). Second, to evaluate the performance of only including PCS patients, a CNN was trained on PCS data. Third, to evaluate the performance when combining the datasets, a CNN was trained on both datasets. Finally, to evaluate the performance of transfer learning, the ACS-CNN was fine-tuned using PCS patients. The transfer learning strategy outperformed the other strategies in volume agreement with an intra-class correlation of 0.88 (95% CI: 0.83-0.92) vs. 0.55 to 0.83 and a lesion detection rate of 87% vs. 41-77 for the other strategies. Hence, transfer learning improved the FLV quantification and detection rate of PCS lesions compared to the other strategies.

Published
2021

5. Successful Thrombectomy Improves Functional Outcome in Tandem Occlusions with a Large Ischemic Core

Author

Lapergue, Bertrand, Wang, Adrien, Consoli, Arturo, Coskun, Oguzhan, Maria, Federico Di, Pizzuto, Silvia, Sgreccia, Alessandro, Benoit, Charline, Gorza, Lucas, Weisenburger-Lile, David, Jabeur, Waliyde, Maia, Tchikviladze, Evrard, Serge, Rodesch, Georges, Blanc, Raphaël, Obadia, Michael, Desilles, Jean-Philippe, Piotin, Michel, Seners, Pierre, Smajda, Stanislas, Escalard, Simon, Maier, Benjamin, Sabben, Candice, Redjem, Hocine, Mikaelmazhigi, Adwan, Grace, Delvoye, François, Raaisi, Amira Al, Boisseau, William, Eker, Omer, Cho, Tae-Hee, Derex, Laurent, Fontaine, Julia, Mechtouff, Laura, Nighoghossian, Norbert, Ong, Elodie, Rascle, Lucie, Riva, Roberto, Turjman, Françis, Laubacher, Morgane, Beyragued, Mehdi, Berthezene, Yves, Hermier, Marc, Roxanna, Ameli, Bani-Sadr, Alexandre, Filip, Andrea, Cappucci, Matteo, Bourcier, Romain, Duport, Benjamin Daumas, Alexandre, Pierre Louis, Lenoble, Cédric, Hubertdesal, Gaalon, Solène De, Guillon, Benoît, Preterre, Cécile, Tessier, Guillaume, Lionnet, Arthur, Gory, Benjamin, Humbertjean-Selton, Lisa, Anxionnat, René, Derelle, Anne-Laure, Liao, Liang, Schmitt, Emmanuelle, Planel, Sophie, Richard, Sébastien, Mione, Gioia, Lacour, Jean-Christophe, Douarinou, Marian, Micard, Emilien, Chen, Bailiang, Audibert, Gérard, Masson, Agnès, Alb, Lionel, Beaumont, Marine, Tabarna, Adriana, Voicu, Marcela, Barthel, Grégoire, Podar, Iona, Brezeanu, Madalina, Reitter, Marie, Zhu, François, Marnat, Gaultier, Liegey, Jean-Sébastien, Briau, Pierre, Papillon, Lisa, Sibon, Igor, Barreau, Xavier, Papaxanthos, Jean, Berge, Jérome, Debruxelles, Sabrina, Olindo, Stephane, Poli, Mathilde, Renou, Pauline, Sagnier, Sharmila, Tourdias, Thomas, Courret, Thomas, Lucas, Ludovic, Milnerowicz, Malgorzata, Dargazanli, Cyril, Costalat, Vincent, Mourand, Isabelle, Arquizan, Caroline, Corti, Lucas, Adrien, Schiphorst, Ter, Federico, Cagnazzo, Derraz, Imad, Mahmoudi, Mehdi, Lefevre, Pierre-Henri, Gascou, Grégory, Spelle, Laurent, Caroff, Jildaz, Denier, Christian, Chalumeau, Vanessa, Mihalea, Cristian, Nicolaslegris, Ozanne, Augustin, Ikka, Leon, Chassin, Olivier, Gallas, Sophie, Venditti, Laura, Marianasarov, Cortese, Jonathan, Ferre, Jean-Christophe, Vannier, Stephane, Ronziere, Thomas, Veronica Lassalle, Maria, Gauvrit, Jean-Yves, Tracol, Clément, Boustia, Abdelghani Fakhreddine, Malrain, Cécile, Beaufreton, Edouard, Lapotre, Thibault, Alias, Quentin, Hissier, Julien, Guillen, Maud, Eugene, François, Chivot, Cyril, Courselle, Audrey, Ouin, Elisa, Lamy, Chantal, Delaforge, Kevin, Fernandez, Manuel, Vial, Jérémie, Laferte, Quentin, Desdoit, Xavier, Timsit, Serge, Jourdain, Aurore, Gentric, Jean-Christophe, Ognard, Julien, Viakhireva, Irina, Coris, Jordan, Prud'hon, Sabine, Merrien, François-Mathias, Marechal, Denis, Bruguet, Marie, Rousseau, Pierre Yves, Goas, Philippe, Boulanger, Marion, Touze, Emmanuel, Vivien, Denis, Barbier, Charlotte, Schneckenburger, Romain, Salaris, Fabrizio, Cogez, Julien, Guettier, Sophie, Porte, Estelle La, Bouchart, Jean, Mounayer, Charbel, Rouchaud, Aymeric, Saleme, Suzana, Forestier, Géraud, Clarencon, Frédéric, Rosso, Charlotte, Leder, Sara, Baronnet, Flore, Crozier, Sophie, Leger, Anne, Premat, Kevin, Eimad, Shotar, Lenck, Stéphanie, Sourour, Nader, Bottin, Laure, Ghazanfari, Sam, Yger, Marion, Alamowitch, Sonia, Delorme, Stephen, Wittwer, Aymeric, Vassilev, Christine, Naggara, Olivier, Turc, Guillaume, Hassen, Wagih Ben, Kerleroux, Basile, Trystram, Denis, Rodriguez-Regent, Christine, Ozkul-Wermester, Ozlem, Papagiannaki, Chrysanthi, Massardier, Evelyne, Triquenot, Aude, Lefebvre, Margaux, Burel, Julien, Viguier, Alain, Cognard, Christophe, Januel, Anne Christine, Albucher, Jean-François, Calviere, Lionel, Olivot, Jean-Marc, Darcourt, Jean, Raposo, Nicolas, Bonneville, Fabrice, Bellanger, Guillaume, Fontaine, Louis, Tall, Philippe, Thalamas, Claire, Geerearts, Thomas, Grepon, Antoine Faurie, Bourdain, Frédéric, Bernady, Patricia, Ballan, Guillaume, Bannier, Stéphanie, Ellie, Emmanuel, Flabeau, Olivier, Potenza, Julia, Soulages, Antoine, Lagoarde-Segot, Laurent, Cailliez, Hélène, Veunac, Louis, Higue, David, Lebras, Anthony, Adam, Sarah, Pegat, Benoit, Guen, Arnaud Le, Chedeville, François, Jouan, Jérémy, Demasles, Stéphanie, Richter, Johann Sebastian, Thierry Barroso, Bruno, Dahan, Camille, Gonnet, Alexis, Hubrecht, Régis, Lepine, Zoé, Castagnet, Hélène, Marasescu, Raluca, Heck, Olivier, Cuisenier, Pauline, Detante, Olivier, Wiki, Isabelle Favre, Bonaz, Clémentine, Garambois, Katia, Legris, Loic, Kastler, Adrian, Boubagra, Kamel, Berthet, Corentin, Charara, Stéphane, Wolff, Valérie, Pop, Raoul, Quenardelle, Véronique, Lauer, Valérie, Pierre-Paul, Irène, Roxanagheoca, Trzeciak, Malwina, Moulin, Solène, Tuan, Hua Vi, Pagano, Paolo, Doucet, Alexandre, Gelmini, Christophe, Manceau, Pierrefrançois, Paiusan, Laurentiu, Serre, Isabelle, Soize, Sébastien, Phuong Nguyen, Thi Ngoc, Sahnoun, Maher, Caucheteux, Nathalie, Ferrier, Anna, Zerroug, Abderrahim, Moreno, Ricardo, Chabert, Emmanuel, Lteif, Elie, Paulineparis, Bourgois, Nathalie, Raquin, Marie, Pasco-Papon, Anne, Girot, Jean Baptiste, Lecluse, Alderic, Godard, Sophie, L'allinec, Vincent, Janot, Kevin, Bibi, Richard, Gaudron, Marie, Bretonniere, Arnaud, Annan, Mariam, Ifergan, Héloïse, Boulouis, Grégoire, Pasi, Marco, Debiais, Séverine, Molinier, Elisabeth, Wietrich, Anthony, Ruche, Valérie, Lavandier, Karine, Bejot, Yannick, Lemogne, Brivale, Ricolfi, Fédéric, Baptiste, Laura, Thouant, Pierre, Duloquin, Gaulthier, Olivier Comby, Pierre, Charbonnier, Guillaume, Bonnet, Louise, Raybaud, Nicolas, Bouamra, Benjamin, Moulin, Thierry, Biondi, Alessandra, Finitsis, Stephanos, and Mazighi, Mikael

Published
2023
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8. Multi‐Scale Feature Attention‐DEtection TRansformer: Multi‐Scale Feature Attention for security check object detection.

Author

Sima, Haifeng, Chen, Bailiang, Tang, Chaosheng, Zhang, Yudong, and Sun, Junding

Subjects
*OBJECT recognition (Computer vision), *COMPUTER vision, *FEATURE extraction, *PRIOR learning, *LUGGAGE
Abstract

X‐ray security checks aim to detect contraband in luggage; however, the detection accuracy is hindered by the overlapping and significant size differences of objects in X‐ray images. To address these challenges, the authors introduce a novel network model named Multi‐Scale Feature Attention (MSFA)‐DEtection TRansformer (DETR). Firstly, the pyramid feature extraction structure is embedded into the self‐attention module, referred to as the MSFA. Leveraging the MSFA module, MSFA‐DETR extracts multi‐scale feature information and amalgamates them into high‐level semantic features. Subsequently, these features are synergised through attention mechanisms to capture correlations between global information and multi‐scale features. MSFA significantly bolsters the model's robustness across different sizes, thereby enhancing detection accuracy. Simultaneously, A new initialisation method for object queries is proposed. The authors' foreground sequence extraction (FSE) module extracts key feature sequences from feature maps, serving as prior knowledge for object queries. FSE expedites the convergence of the DETR model and elevates detection accuracy. Extensive experimentation validates that this proposed model surpasses state‐of‐the‐art methods on the CLCXray and PIDray datasets. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Dynamic evolution of infarct volumes at MRI in ischemic stroke due to large vessel occlusion

Author

Munsch, Fanny, primary, Planes, David, additional, Fukutomi, Hikaru, additional, Marnat, Gaultier, additional, Courret, Thomas, additional, Micard, Emilien, additional, Chen, Bailiang, additional, Seners, Pierre, additional, Dubos, Johanna, additional, Planche, Vincent, additional, Coupé, Pierrick, additional, Dousset, Vincent, additional, Lapergue, Bertrand, additional, Olivot, Jean-Marc, additional, Sibon, Igor, additional, Thiebaut de Schotten, Michel, additional, and Tourdias, Thomas, additional

Published
2023
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13. Unfavorable clinical outcomes in patients with good collateral scores following endovascular treatment for acute ischemic stroke of the anterior circulation: The UNCLOSE study

Author

Consoli, Arturo, primary, Pileggi, Marco, additional, Hasan, ATM Hasibul, additional, Rahman, Mohammad H, additional, Venier, Alice, additional, Sgreccia, Alessandro, additional, Pizzuto, Silvia, additional, Coskun, Oguzhan, additional, Di Maria, Federico, additional, Scarcia, Luca, additional, Lapergue, Bertrand, additional, Rodesch, Georges, additional, Bracard, Serge, additional, and Chen, Bailiang, additional

Published
2023
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21. Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI

Author

Odille, Freddy, Bustin, Aurélien, Chen, Bailiang, Vuissoz, Pierre-André, Felblinger, Jacques, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Navab, Nassir, editor, Hornegger, Joachim, editor, Wells, William M., editor, and Frangi, Alejandro F., editor

Published
2015
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28. Administration of recombinant human thrombopoietin is associated with alleviated thrombocytopenia in adult intensive care unit patients with pneumonia: A single-center retrospective study

Author

Chen, Bailiang, primary, Xuan, Jiabin, additional, Wu, Feng, additional, Shi, Nengxian, additional, Dai, Jianwei, additional, Cai, Shumin, additional, An, Shengli, additional, Huang, Qiaobing, additional, Huang, Xiaoling, additional, Chen, Zhongqing, additional, and Zeng, Zhenhua, additional

Published
2022
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33. Theory and measurement of the single and hybrid-mode excitation and evolution in a lossy-dielectric-loaded waveguide.

Author

Wang, Weijie, Liu, Guo, Cao, Yingjian, Chen, Bailiang, Yao, Yelei, Wang, Yu, Gong, Xiaoqing, Jiang, Wei, Wang, Jianxun, and Luo, Yong

Subjects
TRAVELING-wave tubes, NUMERICAL calculations, PARTICLE beam bunching, ELECTROMAGNETIC fields
Abstract

This paper investigates the mode excited, evolved, and propagating properties of the lossy dielectric-loaded waveguide (DLW) used in a Ku-band TE11-mode gyrotron traveling wave tube (gyro-TWT). Theoretical calculation and numerical simulation show that different DLW eigenmodes can be excited by the hollow circular waveguide as a single or hybrid-mode. This study clearly reveals the transformation conditions of the single and hybrid-mode, and the mechanism of the resulting specific dispersion, loss, and electromagnetic field distribution. According to the mode excitation principle and its evolution laws, the propagating properties can be accurately controlled by adjusting the dielectric thickness, which can effectively suppress the potential oscillations and improve the electron bunching phase in the gyro-TWT. As a result, the dielectric loading scheme can be optimized by properly arranging the DLWs, thus enhancing the stability and gain of the gyro-TWT. The theory and simulation are verified by the vector network analyzer measurement at Ku-band, and the results show a good agreement. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Angiographic collateral venous phase: a novel landmark for leptomeningeal collaterals evaluation in acute ischemic stroke

Author

Consoli, Arturo, Pizzuto, Silvia, Sgreccia, Alessandro, Di Maria, Federico, Coskun, Oguzhan, Rodesch, Georges, Lapergue, Bertrand, Felblinger, Jacques, Chen, Bailiang, and Bracard, Serge

Abstract

BackgroundAlthough recanalization rates constantly increase (>80%), a favorable clinical outcome is achieved in only 45–55% of patients undergoing mechanical thrombectomy (MT) for anterior circulation stroke. Collateral circulation seems to play a major role in determining this discrepancy. The aim of the study was to investigate a novel angiographic landmark assessing the collateral venous phase (CVP) compared with the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) score, based on the arterial collateral assessment.MethodsTwo hundred patients with anterior circulation stroke treated by MT between 2016 and 2021 were included. The ASITN/SIR score and the presence of CVP were blindly evaluated by expert neuroradiologists. Three subanalyses were performed comparing patients with good versus poor collaterals, CVP presence versus absence, and a composite analysis including both ASITN/SIR and CVP grading results.ResultsGood collateral circulation (ASITN >2) was observed in 113 patients (56.5%) whereas CVP was present in 90 patients (45%) and mostly in patients with good collaterals. Favorable clinical and neuroradiological outcomes were more likely observed in patients with both good collaterals and the presence of CVP than in those with good collaterals and absence of CVP (modified Rankin Scale score 0–2: 77.3% vs 7.9%, p<0.0001; mortality: 9.3% vs 26.3%, p=0.02; 24-hour Alberta Stroke Program Early CT Score: 8 vs 6, p<0.0001), while ASITN/SIR score alone was not significantly associated with clinical outcomes.ConclusionsThe presence of CVP improves the angiographic assessment of collateral circulation. CVP could be proposed as a new imaging landmark to better understand the functionality of collaterals.

Published
2023
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42. In vivo characterization of physiological and metabolic changes related to isocitrate dehydrogenase 1 mutation expcression by multiparametric MRI and MRS in a rat model with orthotopically grafted human‐derived glioblastoma cell lines

Author

Clément, Alexandra, primary, Doyen, Matthieu, additional, Fauvelle, Florence, additional, Hossu, Gabriela, additional, Chen, Bailiang, additional, Barberi‐Heyob, Muriel, additional, Hirtz, Alex, additional, Stupar, Vasile, additional, Lamiral, Zohra, additional, Pouget, Celso, additional, Gauchotte, Guillaume, additional, Karcher, Gilles, additional, Beaumont, Marine, additional, Verger, Antoine, additional, and Lemasson, Benjamin, additional

Published
2021
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43. A novel combination of graphene and silver nanowires for entirely stretchable and ultrasensitive strain sensors: sandwich-based sensing films

Author

Guishan Wang, Guanjun Liu, Jing Qiu, Peng Yang, and Chen Bailiang

Subjects
Materials science, Strain (chemistry), Graphene, Mechanical Engineering, Soft robotics, Bioengineering, Nanotechnology, 02 engineering and technology, General Chemistry, Strain sensor, Silver nanowires, 010402 general chemistry, 021001 nanoscience & nanotechnology, Human motion, 01 natural sciences, 0104 chemical sciences, Working range, law.invention, Mechanics of Materials, law, Electrode, General Materials Science, Electrical and Electronic Engineering, 0210 nano-technology
Abstract

A great deal of engineering effort is focused on developing stretchable strain sensors for human motion monitoring and wearable devices. The ultrasensitivity and fast response under tiny strain (1%) while maintaining the working range remain the grand challenge. In this work, we propose an entirely stretchable strain sensor based on the sandwich sensing film, which is fabricated by vacuum filtration of silver nanowires (AgNWs)/ graphene/ AgNWs in sequence and the injection of liquid metal as electrodes. The novel sandwich sensing film endows the stretchable strain sensor high sensitivity under tiny strain (Gauge factor = 111.5 at 1%), fast response (10 ms), relative large working range (0%-35%) with a maximum gauge factor of 1403.7, followed by good linearity, long-term durability, and the recovery property from being overstretched (100%). The excellent performance is due to the slippage of the inner graphene under tiny strain, whereas the 'sewing' phenomenon of the outer AgNWs under larger strain. The sandwich structure illustrates a better combination of graphene and AgNWs than other hybrid methods, showing great potential in wearable devices and soft robotics.

Published
2019

44. Selection of test paths for solder joint intermittent connection faults under DC stimulus

Author

Li Huakang, Chen Bailiang, Liu Guan-jun, Qiu Jing, and Lv Kehong

Subjects
0209 industrial biotechnology, 020901 industrial engineering & automation, Physical structure, Computer science, Soldering, 020208 electrical & electronic engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical and Electronic Engineering, Stimulus (physiology), Simulation, Network model, Test path
Abstract

The test path of solder joint intermittent connection faults under direct-current stimulus is examined in this paper. According to the physical structure of the circuit, a network model is establis...

Published
2018

47. Advanced Techniques in Musculoskeletal Oncology: Perfusion, Diffusion, and Spectroscopy

Author

Jean-Luc Verhaeghe, Chen Bailiang, François Sirveaux, Alain Blum, Pedro Augusto Gondim Teixeira, Hossu Gabriela, Marine Beaumont, Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Département de Radiologie adultes [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Lorraine (UL), Institut de Cancérologie de Lorraine - Alexis Vautrin [Nancy] (UNICANCER/ICL), UNICANCER, Service de Chirurgie Orthopédique, Traumatologique et Arthroscopique [CHRU Nancy] (COTA), and Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)

Subjects
medicine.medical_specialty, Magnetic Resonance Spectroscopy, Perfusion Imaging, Contrast Media, Bone Neoplasms, Perfusion scanning, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Functional methods, medicine, Humans, Radiology, Nuclear Medicine and imaging, Orthopedics and Sports Medicine, Medical physics, Musculoskeletal System, Protocol (science), Muscle Neoplasms, business.industry, Image enhancement, Image Enhancement, 3. Good health, Functional imaging, Tumor detection, Diffusion Magnetic Resonance Imaging, 030220 oncology & carcinogenesis, Radiology, business, Perfusion, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Diffusion MRI
Abstract

International audience; The imaging characterization of musculoskeletal tumors can be challenging, and a significant number of lesions remain indeterminate when conventional imaging protocols are used. In recent years, clinical availability of functional imaging methods has increased. Functional imaging has the potential to improve tumor detection, characterization, and follow-up. The most frequently used functional methods are perfusion imaging, diffusion-weighted imaging (DWI), and MR proton spectroscopy (MRS). Each of these techniques has specific protocol requirements and diagnostic pitfalls that need to be acknowledged to avoid misdiagnoses. Additionally, the application of functional methods in the MSK system has various technical issues that need to be addressed to ensure data quality and comparability. In this article, the application of contrast-enhanced perfusion imaging, DWI, and MRS for the evaluation of bone and soft tissue tumors is discussed, with emphasis on acquisition protocols, technical difficulties, and current clinical indications.

Published
2015

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