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Tonghe Wang
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2020 – today
- 2024
- [c85]Tianying Shi, Haochen Hua, Yuxin Su, Yuhuan Sun, Yue Xu, Tonghe Wang, Pathmanathan Naidoo, Maria Cristina Tavares:
Differentiated Congestion Management in Distribution Network Considering Price- and Incentive-Based Hybrid Demand Response. ICIT 2024: 1-6 - [i12]Yang Lei, Luke A. Matkovic, Justin Roper, Tonghe Wang, Jun Zhou, Beth B. Ghavidel, Mark McDonald, Pretesh Patel, Xiaofeng Yang:
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration. CoRR abs/2405.02692 (2024) - [i11]Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR abs/2407.02616 (2024) - 2023
- [j6]Haochen Hua
, Yutong Li
Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Comput. Surv. 55(9): 184:1-184:35 (2023) - [j5]Haobo Chen
Decomposition analysis on factors affecting electricity substitution in Guangdong province, China. IET Cyper-Phys. Syst.: Theory & Appl. 8(4): 307-326 (2023) - [j4]Tonghe Wang, Songpu Ai, Junwei Cao
A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences. Symmetry 15(4): 808 (2023) - [c84]Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c83]Luke Matkovic, Yang Lei, Yabo Fu, Tonghe Wang, Aparna H. Kesarwala
Deformable image registration of chest CT using deep cycle network. Medical Imaging: Image-Guided Procedures 2023 - [c82]Shaoyan Pan, Jacob F. Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Multi-organ CT segmentation using shifted-window multilayer perceptron mixer. Medical Imaging: Image-Guided Procedures 2023 - [c81]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Medical Imaging: Image Processing 2023 - [i10]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation. CoRR abs/2302.13172 (2023) - [i9]Shaoyan Pan, Chih-Wei Chang
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis. CoRR abs/2305.00042 (2023) - [i8]Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang:
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR abs/2305.19467 (2023) - [i7]Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F. Wynne, Tonghe Wang, Chih-Wei Chang
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model. CoRR abs/2308.13072 (2023) - 2022
- [c80]Yabo Fu, Yang Lei
CT-based volumetric strain imaging via a deep learning registration framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c79]Shaoyan Pan, Yang Lei
Male pelvic multi-organ segmentation using V-transformer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c78]Tonghe Wang, Yang Lei
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c77]Huiqiao Xie, Yang Lei
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c76]Yang Lei
Neurovascular bundles segmentation on MRI via hierarchical object activation network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c75]Yabo Fu, Yang Lei
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy. Medical Imaging: Computer-Aided Diagnosis 2022 - [c74]Shaoyan Pan, Zhen Tian, Yang Lei
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2022 - [c73]Huiqiao Xie, Yang Lei
High-resolution MR imaging using self-supervised parallel network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c72]Yang Lei
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy. Medical Imaging: Image-Guided Procedures 2022 - [c71]Chih-Wei Chang
Using orthogonal 2D kV images for target localization via central matching networks. Medical Imaging: Image-Guided Procedures 2022 - [c70]Xianjin Dai, Yang Lei
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. Medical Imaging: Image-Guided Procedures 2022 - [c69]Yabo Fu, Yang Lei
Deep learning based volume-to-slice MRI registration via intentional overfitting. Medical Imaging: Image-Guided Procedures 2022 - [c68]Shadab Momin, Yang Lei
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. Medical Imaging: Image-Guided Procedures 2022 - [c67]Yang Lei
Deep-learning-based markerless tumor localization using 2D KV/MV image. Medical Imaging: Image Processing 2022 - [c66]Chih-Wei Chang
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Medical Imaging: Image Processing 2022 - [c65]Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang
Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Medical Imaging: Image Processing 2022 - [i6]Tonghe Wang, Songpu Ai, Zhihong Tian, Brij B. Gupta, Chun Shan:
A Blockchain-Based Distributed Computational Resource Trading System for Industrial Internet of Things Considering Multiple Preferences. CoRR abs/2201.09539 (2022) - [i5]Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. CoRR abs/2208.13686 (2022) - 2021
- [j3]Haochen Hua, Zhiqian Wei, Yuchao Qin, Tonghe Wang, Liuying Li, Junwei Cao:
Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence-based methods. IET Cyper-Phys. Syst.: Theory & Appl. 6(2): 63-79 (2021) - [j2]Yabo Fu, Yang Lei
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. Medical Image Anal. 67: 101845 (2021) - [c64]Yang Lei
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c63]Xianjin Dai, Yang Lei
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c62]Yabo Fu, Yang Lei
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c61]Tonghe Wang
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c60]Tonghe Wang
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c59]Tonghe Wang
4D cone-beam CT deformable registration using unsupervised spatial transformation network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c58]Xianjin Dai, Yang Lei
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation. Medical Imaging: Computer-Aided Diagnosis 2021 - [c57]Yabo Fu, Yang Lei
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors. Medical Imaging: Computer-Aided Diagnosis 2021 - [c56]Shadab Momin, Yang Lei
Deep learning-based deformable MRI-CBCT registration of male pelvic region. Medical Imaging: Computer-Aided Diagnosis 2021 - [c55]Tonghe Wang
MRI-based prostate and dominant lesion segmentation using deep neural network. Medical Imaging: Computer-Aided Diagnosis 2021 - [c54]Yang Lei
Multi-organ segmentation of male pelvic CT using dual attention networks. Medical Imaging: Image-Guided Procedures 2021 - [c53]Xianjin Dai, Yang Lei
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c52]Xianjin Dai, Yang Lei
Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy. Medical Imaging: Image-Guided Procedures 2021 - [c51]Xianjin Dai, Yang Lei
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT. Medical Imaging: Image-Guided Procedures 2021 - [c50]Xianjin Dai, Yang Lei
Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy. Medical Imaging: Image-Guided Procedures 2021 - [c49]Yabo Fu, Yang Lei
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity. Medical Imaging: Image-Guided Procedures 2021 - [c48]Shadab Momin, Yang Lei
CT-MRI pelvic deformable registration via deep learning. Medical Imaging: Image-Guided Procedures 2021 - [c47]Shadab Momin, Yang Lei
Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. Medical Imaging: Image-Guided Procedures 2021 - [c46]Yupei Zhang, Yang Lei
Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. Medical Imaging: Image-Guided Procedures 2021 - [c45]Yang Lei
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion. Medical Imaging: Image Processing 2021 - [c44]Yang Lei
Deep learning-based 3D image generation using a single 2D projection image. Medical Imaging: Image Processing 2021 - [c43]Xianjin Dai, Yang Lei
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Medical Imaging: Image Processing 2021 - [c42]Yabo Fu, Yang Lei
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy. Medical Imaging: Image Processing 2021 - [c41]Tonghe Wang
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks. Medical Imaging: Image Processing 2021 - [c40]Tonghe Wang
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. Medical Imaging: Image Processing 2021 - [c39]Huiqiao Xie, Yang Lei
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy. Medical Imaging: Image Processing 2021 - [i4]Mingquan Lin, Jacob F. Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. CoRR abs/2103.13588 (2021) - 2020
- [j1]Yupei Zhang
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning. IEEE Trans. Medical Imaging 39(7): 2302-2315 (2020) - [c38]Yang Lei
Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171S - [c37]Yang Lei
Attenuation correction without structural images for PET imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171R - [c36]Xiuxiu He, Bangjun Guo, Yang Lei
Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172H - [c35]Yang Lei
MRI-aided attenuation correction for PET imaging with deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131723 - [c34]Tonghe Wang
Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131724 - [c33]Xianjin Dai, Yang Lei
Intensity non-uniformity correction in MR imaging using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131727 - [c32]Yabo Fu, Yang Lei
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131728 - [c31]Yang Lei
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN. Medical Imaging: Computer-Aided Diagnosis 2020 - [c30]Yabo Fu, Yang Lei
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Medical Imaging: Computer-Aided Diagnosis 2020 - [c29]Yabo Fu, Bangjun Guo, Yang Lei
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c28]Bangjun Guo, Xiuxiu He, Tonghe Wang
Benign and malignant thyroid classification using computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c27]Xiuxiu He, Bangjun Guo, Yang Lei
3D thyroid segmentation in CT using self-attention convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c26]Xiuxiu He, Bangjun Guo, Tonghe Wang
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics. Medical Imaging: Computer-Aided Diagnosis 2020 - [c25]Yabo Fu, Yang Lei
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. Medical Imaging: Image Processing 2020: 113132U - [c24]Yabo Fu, Yang Lei
An unsupervised deep learning approach for 4DCT lung deformable image registration. Medical Imaging: Image Processing 2020: 113132T - [c23]Xiuxiu He, Bangjun Guo, Yang Lei
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. Medical Imaging: Image Processing 2020: 113132D - [c22]Yingzi Liu, Yang Lei
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. Medical Imaging: Image Processing 2020: 113132L - [c21]Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. Medical Imaging: Image Processing 2020: 113132Y - [c20]Yang Lei
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. Medical Imaging: Image Processing 2020: 113133A - [c19]Yang Lei
Estimating standard-dose PET from low-dose PET with deep learning. Medical Imaging: Image Processing 2020: 1131322 - [c18]Yabo Fu, Yang Lei
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. Medical Imaging: Image Processing 2020: 1131329 - [c17]Yang Lei
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. Medical Imaging: Image Processing 2020: 1131338 - [i3]Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Machine Learning in Quantitative PET Imaging. CoRR abs/2001.06597 (2020) - [i2]Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Multi-organ Segmentation. CoRR abs/2001.10619 (2020)
2010 – 2019
- 2019
- [c16]Yang Lei
Brain MRI classification based on machine learning framework with auto-context model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c15]Tonghe Wang
A learning-based automatic segmentation method on left ventricle in SPECT imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531M - [c14]Bo Wang, Yang Lei
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Medical Imaging: Computer-Aided Diagnosis 2019: 109503X - [c13]Tonghe Wang
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109504D - [c12]Yang Lei
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. Medical Imaging: Computer-Aided Diagnosis 2019: 1095010 - [c11]Ge Cui, Jiwoong Jason Jeong, Yang Lei
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features. Medical Imaging: Computer-Aided Diagnosis 2019: 1095048 - [c10]Yang Lei
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. AIRT@MICCAI 2019: 26-33 - [c9]Yang Lei
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy. AIRT@MICCAI 2019: 154-161 - [c8]Yang Lei
MRI-based synthetic CT generation using deep convolutional neural network. Medical Imaging: Image Processing 2019: 109492T - [c7]Bo Wang, Yang Lei
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Medical Imaging: Image Processing 2019: 109492S - [i1]Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Medical Image Registration: A Review. CoRR abs/1912.12318 (2019) - 2018
- [c6]Yang Lei, Hui-Kuo Shu, Sibo Tian, Tonghe Wang, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Xiaofeng Yang
Pseudo CT Estimation using Patch-based Joint Dictionary Learning. EMBC 2018: 5150-5153 - 2017
- [c5]Tonghe Wang
Image-domain non-uniformity correction for cone-beam CT. ISBI 2017: 680-683 - 2016
- [c4]Jeremy T. Fineman, Calvin Newport, Tonghe Wang:
Contention Resolution on Multiple Channels with Collision Detection. PODC 2016: 175-184 - 2015
- [c3]Seth Gilbert
Bounds for Blind Rate Adaptation. OPODIS 2015: 8:1-8:17 - 2014
- [c2]Jeremy T. Fineman, Calvin C. Newport, Micah Sherr, Tonghe Wang:
Fair Maximal Independent Sets. IPDPS 2014: 712-721 - 2013
- [c1]Jeremy T. Fineman, Calvin C. Newport, Tonghe Wang:
Brief announcement: fair maximal independent sets in trees. PODC 2013: 51-53
Coauthor Index
[j2] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i4] [j1] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i3] [i2] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i1] [c6]
[i12] [c83] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i5] [j2] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i4] [j1] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i3] [i2] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i1] [c6]
[c84] [c83] [c82] [c81] [i10] [i9] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [i5] [j2] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i4] [j1] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i3] [i2] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i1] [c6]
[i12] [i11] [c84] [c83] [c82] [c81] [i10] [i9] [i8] [i7] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [i5] [j2] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i4] [j1] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i3] [i2] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i1] [c6]
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