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Lei Bi 0001
磊毕
Person information
- unicode name: 磊毕
- affiliation: University of Sydney, NSW, Australia
Other persons with the same name
- Lei Bi — disambiguation page
- Lei Bi 0002
— SKLOIS, Institute of Information Engineering, CAS, Beijing, China
- Lei Bi 0003 — Ningbo University, China (and 1 more)
- Lei Bi 0004
- Lei Bi 0005
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2020 – today
- 2024
- [j31]Lei Bi
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images. Comput. Methods Programs Biomed. 243: 107875 (2024) - [j30]Jin Wei, Yupeng Xu, Hanying Wang, Tian Niu, Yan Jiang, Yinchen Shen, Li Su, Tianyu Dou, Yige Peng, Lei Bi, Xun Xu, Yufan Wang, Kun Liu
Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes. Comput. Methods Programs Biomed. 256: 108382 (2024) - [j29]Yang Wen, Yi-Lin Wu, Lei Bi, Wuzhen Shi, Xiao-Xiao Liu, Yupeng Xu, Xun Xu, Wen-Ming Cao, David Dagan Feng:
A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation. J. Comput. Sci. Technol. 39(2): 286-304 (2024) - [j28]Ziyi Qi
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. npj Digit. Medicine 7(1) (2024) - [j27]Jiadi Dong
ClarityDiffuseNet: Enhancing fundus image quality under black shadows with diffusion model-based research. Pattern Recognit. Lett. 186: 279-285 (2024) - [j26]Gengyou Huang, Yang Wen, Bo Qian, Lei Bi, Tingli Chen, Bin Sheng:
Attention-based multi-scale feature fusion network for myopia grading using optical coherence tomography images. Vis. Comput. 40(9): 6627-6638 (2024) - [c40]Mingyuan Meng
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CVPR 2024: 9645-9654 - [c39]Xiaoshuang Li
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) 2024: 25-34 - [c38]Boyuan Tan
Full-TrSUN: A Full-Resolution Transformer UNet for High Quality PET Image Synthesis. MLMI@MICCAI (1) 2024: 238-247 - [e4]Bin Sheng
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14495, Springer 2024, ISBN 978-3-031-50068-8 [contents] - [e3]Bin Sheng
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14496, Springer 2024, ISBN 978-3-031-50071-8 [contents] - [e2]Bin Sheng
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14497, Springer 2024, ISBN 978-3-031-50074-9 [contents] - [e1]Bin Sheng
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14498, Springer 2024, ISBN 978-3-031-50077-0 [contents] - [i34]Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim:
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR abs/2401.10501 (2024) - [i33]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR abs/2406.00123 (2024) - [i32]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR abs/2408.01292 (2024) - [i31]Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim:
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR abs/2409.18701 (2024) - 2023
- [j25]Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim:
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238: 107599 (2023) - [j24]Yuyu Guo
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images. IEEE Trans. Cybern. 53(6): 3532-3545 (2023) - [j23]Wenxiang Ding
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. IEEE Trans. Medical Imaging 42(10): 2842-2852 (2023) - [c37]Lei Bi, Michael J. Fulham
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC 2023: 1-4 - [c36]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. EMBC 2023: 1-4 - [c35]Mingyuan Meng
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) 2023: 400-410 - [c34]Mingyuan Meng
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) 2023: 750-760 - [i30]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. CoRR abs/2304.00725 (2023) - [i29]Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim:
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR abs/2305.09946 (2023) - [i28]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR abs/2307.03421 (2023) - [i27]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR abs/2307.03427 (2023) - [i26]Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim:
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR abs/2309.05271 (2023) - [i25]Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim:
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR abs/2310.15550 (2023) - [i24]Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim:
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification. CoRR abs/2310.18583 (2023) - [i23]Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim:
Full-resolution MLPs Empower Medical Dense Prediction. CoRR abs/2311.16707 (2023) - 2022
- [j22]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. Artif. Intell. Medicine 132: 102374 (2022) - [j21]Lei Bi, Michael J. Fulham
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76: 102334 (2022) - [j20]Mingyuan Meng
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j19]Xiaohang Fu
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126: 108576 (2022) - [j18]Xiaoya Qiao
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. IEEE J. Biomed. Health Informatics 26(7): 3261-3271 (2022) - [j17]Mingyuan Meng
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics 26(9): 4497-4507 (2022) - [j16]Xiaohang Fu
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41(11): 3266-3277 (2022) - [c33]Mingyuan Meng
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI 2022: 273-282 - [c32]Mingyuan Meng
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) 2022: 88-97 - [c31]Mingyuan Meng
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 135-143 - [i22]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR abs/2206.12596 (2022) - [i21]Yige Peng, Jinman Kim, Dagan Feng, Lei Bi:
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. CoRR abs/2209.07705 (2022) - [i20]Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. CoRR abs/2210.15808 (2022) - [i19]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR abs/2211.05409 (2022) - [i18]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR abs/2211.07876 (2022) - 2021
- [j15]Yuyu Guo
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography. Comput. Medical Imaging Graph. 91: 101952 (2021) - [j14]Lei Bi
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. Comput. Methods Programs Biomed. 203: 106043 (2021) - [j13]Mingyuan Meng
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441: 92-104 (2021) - [j12]Xinheng Wu, Lei Bi, Michael J. Fulham
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. Neurocomputing 455: 242-254 (2021) - [j11]Xiaohang Fu
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25(9): 3507-3516 (2021) - [c30]Yang Wen, Yupeng Xu, Bin Sheng, Ping Li
Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution. CGI 2021: 242-251 - [c29]Yang Wen, Yupeng Xu, Kun Liu, Bin Sheng, Lei Bi, Jinman Kim, Xiangui He, Xun Xu:
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention. CGI 2021: 354-361 - [c28]Mingyuan Meng
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 160-167 - [i17]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. CoRR abs/2103.03931 (2021) - [i16]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR abs/2103.05213 (2021) - [i15]Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song:
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. CoRR abs/2103.05220 (2021) - [i14]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR abs/2104.00201 (2021) - [i13]Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR abs/2104.11416 (2021) - [i12]Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. CoRR abs/2106.04961 (2021) - [i11]Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim:
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. CoRR abs/2109.07711 (2021) - [i10]Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images. CoRR abs/2109.14805 (2021) - 2020
- [j10]Lei Bi
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. Pattern Recognit. 107: 107502 (2020) - [c27]Yuyu Guo, Lei Bi, Euijoon Ahn
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CVPR 2020: 4725-4734 - [c26]Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim:
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. ICARCV 2020: 448-453 - [c25]Xiaoshuang Li
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. MICCAI (3) 2020: 105-114 - [c24]Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim:
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. MLMIR@MICCAI 2020: 145-152 - [c23]Yige Peng, Lei Bi, Michael J. Fulham
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) 2020: 763-771 - [i9]Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CoRR abs/2002.12680 (2020) - [i8]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR abs/2007.06002 (2020) - [i7]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images. CoRR abs/2007.14625 (2020) - [i6]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR abs/2007.14728 (2020)
2010 – 2019
- 2019
- [j9]Younhyun Jung, Jinman Kim, Lei Bi
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. Int. J. Comput. Assist. Radiol. Surg. 14(5): 733-744 (2019) - [j8]Robin Huang
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography. Comput. Biol. Medicine 115 (2019) - [j7]Lei Bi
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85: 78-89 (2019) - [c22]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li
Optic Disc and Cup Segmentation Based on Enhanced SegNet. CASA 2019: 33-36 - [c21]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li
Detect Glaucoma with Image Segmentation and Transfer Learning. CASA 2019: 37-40 - [c20]Yuan Yuan
Deep Intrinsic Image Decomposition Using Joint Parallel Learning. CGI 2019: 336-341 - [c19]Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. EMBC 2019: 3658-3688 - [c18]Lei Bi, Dagan Feng
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. ISBI 2019: 1100-1103 - [c17]Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim:
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. MICCAI (5) 2019: 539-546 - [i5]Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim:
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. CoRR abs/1902.04713 (2019) - 2018
- [b1]Lei Bi:
Deep Cascaded Fully Convolutional Networks for Medical Image Segmentation. University of Sydney, Australia, 2018 - [j6]Lei Bi
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation. Vis. Comput. 34(6-8): 1043-1052 (2018) - [i4]Lei Bi, Dagan Feng, Jinman Kim:
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation. CoRR abs/1807.08392 (2018) - 2017
- [j5]Lei Bi
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Comput. Medical Imaging Graph. 60: 3-10 (2017) - [j4]Lei Bi
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Trans. Biomed. Eng. 64(9): 2065-2074 (2017) - [j3]Euijoon Ahn
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21(6): 1685-1693 (2017) - [j2]Lei Bi
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. Vis. Comput. 33(6-8): 1061-1071 (2017) - [c16]Lei Bi
Semi-automatic skin lesion segmentation via fully convolutional networks. ISBI 2017: 561-564 - [c15]Lei Bi
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. ISBI 2017: 895-898 - [c14]Lei Bi
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CMMI/RAMBO/SWITCH@MICCAI 2017: 43-51 - [i3]Lei Bi, Jinman Kim, Euijoon Ahn
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks. CoRR abs/1703.04197 (2017) - [i2]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng:
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks. CoRR abs/1704.02703 (2017) - [i1]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CoRR abs/1707.09747 (2017) - 2016
- [c13]Lei Bi
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. ISBI 2016: 1055-1058 - [c12]Lei Bi
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. ISBI 2016: 1059-1062 - [c11]Robin Huang
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography. ISBI 2016: 1334-1337 - 2015
- [c10]Robin Huang
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. DICTA 2015: 1-7 - [c9]Euijoon Ahn
Automated saliency-based lesion segmentation in dermoscopic images. EMBC 2015: 3009-3012 - [c8]Lei Bi
Automated thresholded region classification using a robust feature selection method for PET-CT. ISBI 2015: 1435-1438 - 2014
- [c7]Lei Bi
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features. EMBC 2014: 1913-1916 - [c6]Lei Bi
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. MICCAI (1) 2014: 569-576 - 2013
- [j1]Ashnil Kumar
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. Int. J. Comput. Assist. Radiol. Surg. 8(6): 1003-1014 (2013) - [c5]Michael de Ridder, Liviu Constantinescu, Lei Bi
A web-based medical multimedia visualisation interface for personal health records. CBMS 2013: 191-196 - [c4]Michael de Ridder, Lei Bi
Data processing and presentation for a personalised, image-driven medical graphical avatar. EMBC 2013: 4183-4186 - [c3]Lei Bi
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. EMBC 2013: 5453-5456 - 2012
- [c2]Lei Bi
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding. DICTA 2012: 1-6 - [c1]Lei Bi
Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies. EMBC 2012: 5335-5338
Coauthor Index
[j29] [j28] [c40] [c39] [i34] [i33] [i32] [i31] [j24] [j23] [c37] [c36] [c35] [c34] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [j22] [j20] [j18] [j17] [c33] [c32] [c31] [i22] [i21] [i20] [i19] [i18] [j15] [j14] [j12] [i16] [i15] [i13] [i11] [i10] [j10] [c27] [c25] [c24] [c23] [i9] [i8] [i7] [j9] [j7] [c19] [c18] [c17] [i5] [j6] [i4] [j5] [j4] [j3] [j2] [c16] [c15] [c14] [i3] [i2] [i1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
[j31] [j28] [j27] [c40] [c39] [c38] [e4] [e3] [e2] [e1] [i34] [i33] [i32] [i31] [j25] [j24] [j23] [c37] [c36] [c35] [c34] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c33] [c32] [c31] [i22] [i21] [i20] [i19] [i18] [j15] [j14] [j13] [j12] [j11] [c30] [c29] [c28] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j10] [c27] [c26] [c25] [c24] [c23] [i9] [i8] [i7] [i6] [j9] [j8] [j7] [c22] [c21] [c20] [c19] [c18] [c17] [i5] [j6] [i4] [j5] [j4] [j3] [j2] [c16] [c15] [c14] [i3] [i2] [i1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
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