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Adrián Colomer Granero
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2020 – today
- 2025
[j26]Cristian Camilo Pulgarín-Ospina, Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration. Comput. Methods Programs Biomed. 260: 108577 (2025)- 2024
- [j25]Claudio Fernandez-Martín
, Adrián Colomer, Claudio Panariello, Valery Naranjo:
Choosing only the best voice imitators: Top-K many-to-many voice conversion with StarGAN. Speech Commun. 156: 103022 (2024) - [c37]Alejandro Golfe, Adrián Colomer, José Prades, Valery Naranjo:
Leveraging Synthetic Samples for Boosting CBIR Performance in Prostate Cancer Diagnosis. DSA ISC (2) 2024: 181-189 - [c36]Pablo Meseguer, Rocío del Amor, Adrián Colomer, Valery Naranjo:
Foundation Models for Slide-Level Cancer Subtyping in Digital Pathology. DSA ISC (2) 2024: 190-198 - [c35]Cristian Pulgarín-Ospina, Laëtitia Launet, Adrián Colomer, Valery Naranjo:
Optimizing Deep Learning Models for Edge Computing in Histopathology: Bridging the Gap to Clinical Practice. KES 2024: 2549-2557 - [i18]Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
Attention to detail: inter-resolution knowledge distillation. CoRR abs/2401.06010 (2024) - [i17]Zahra Tabatabaei, Adrián Colomer, Javier Oliver Moll, Valery Naranjo:
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging. CoRR abs/2401.08272 (2024) - [i16]Pablo Meseguer, Rocío del Amor, Adrián Colomer, Valery Naranjo:
Foundation Models for Slide-level Cancer Subtyping in Digital Pathology. CoRR abs/2410.15886 (2024) - 2023
- [j24]Zahra Tabatabaei, Adrián Colomer, Javier Oliver Moll, Valery Naranjo:
Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach. IEEE Access 11: 143387-143401 (2023) - [j23]Alejandro Golfe, Rocío del Amor, Adrián Colomer, María Á. Sales, Liria Terradez, Valery Naranjo:
ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis. Comput. Methods Programs Biomed. 240: 107695 (2023) - [c34]Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo:
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. EUSIPCO 2023: 980-984 - [c33]Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
Attention to Detail: Inter-Resolution Knowledge Distillation. EUSIPCO 2023: 985-989 - [c32]Alejandro Golfe, Rocío del Amor, Adrián Colomer, María Á. Sales, Liria Terradez, Valery Naranjo:
Towards the On-Demand Whole Slide Image Generation: Prostate Patch Synthesis Through a Conditional Progressive Growing GAN. EUSIPCO 2023: 1070-1074 - [c31]Natalia P. García-de-la-Puente, Rocío del Amor, Fernando García-Torres, Adrián Colomer, Valery Naranjo:
Unsupervised Defect Detection for Infrastructure Inspection. IDEAL 2023: 142-153 - [i15]Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo:
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. CoRR abs/2303.11837 (2023) - [i14]Zahra Tabatabaei, Yuandou Wang, Adrián Colomer, Javier Oliver Moll, Zhiming Zhao, Valery Naranjo:
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. CoRR abs/2305.03383 (2023) - [i13]Zahra Tabatabaei, Adrián Colomer, Javier Oliver Moll, Valery Naranjo:
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach. CoRR abs/2305.11728 (2023) - [i12]Cristian Camilo Pulgarín-Ospina, Rocío del Amor, Adrián Colomer, Julio Silva-Rodríguez, Valery Naranjo:
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration. CoRR abs/2307.07525 (2023) - 2022
- [j22]Elena Payá-Bosch, Lorena Bori, Adrián Colomer, Marcos Meseguer, Valery Naranjo:
Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques. Comput. Methods Programs Biomed. 221: 106895 (2022) - [j21]Rocío del Amor, Pablo Meseguer, Tommaso Lorenzo Parigi, Vincenzo Villanacci, Adrián Colomer, Laëtitia Launet, Alina Bazarova, Gian Eugenio Tontini, Raf Bisschops, Gert de Hertogh, Jose G. Ferraz, Martin Götz, Xianyong Gui, Bu'Hussain Hayee, Mark Lazarev, Remo Panaccione, Adolfo Parra-Blanco, Pradeep Bhandari, Luca Pastorelli, Timo Rath, Elin Synnøve Røyset, Michael Vieth, Davide Zardo, Enrico Grisan, Subrata Ghosh, Marietta Iacucci, Valery Naranjo:
Constrained multiple instance learning for ulcerative colitis prediction using histological images. Comput. Methods Programs Biomed. 224: 107012 (2022) - [j20]Rocío del Amor, Adrián Colomer, Carlos Monteagudo, Valery Naranjo:
A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation. Neural Comput. Appl. 34(13): 10243-10255 (2022) - [c30]Rocío del Amor, Adrián Colomer, Sandra Morales, Cristian Pulgarín-Ospina, Liria Terradez, José Aneiros-Fernández, Valery Naranjo:
A Self-Contrastive Learning Framework for Skin Cancer Detection Using Histological Images. ICIP 2022: 2291-2295 - [c29]Laëtitia Launet, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Valery Naranjo:
A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis. ICIP 2022: 3401-3405 - [c28]Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo:
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. IDEAL 2022: 64-72 - [c27]Jesús Cantero, Adrián Colomer, Laëtitia Launet, Alexandre Duchevet, Théo de la Hogue, Jean-Paul Imbert, Valery Naranjo:
Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise. IDEAL 2022: 491-499 - [c26]Rocío del Amor, Francisco Javier Curieses, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo:
Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data. IVMSP 2022: 1-5 - [c25]Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo:
Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. IVMSP 2022: 1-5 - 2021
- [j19]Gabriel García, Rocío del Amor, Adrián Colomer, Rafael Verdú Monedero, Juan Morales-Sánchez, Valery Naranjo:
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks. Artif. Intell. Medicine 118: 102132 (2021) - [j18]Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo:
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images. Artif. Intell. Medicine 121: 102197 (2021) - [j17]Gabriel García, Anna Esteve, Adrián Colomer, David Ramos, Valery Naranjo:
A novel self-learning framework for bladder cancer grading using histopathological images. Comput. Biol. Medicine 138: 104932 (2021) - [j16]Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. Comput. Medical Imaging Graph. 88: 101846 (2021) - [j15]Sandra Morales, Adrián Colomer, José Manuel Mossi, Rocío del Amor, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo:
Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks. Comput. Methods Programs Biomed. 198: 105788 (2021) - [j14]Gabriel García, Adrián Colomer, Valery Naranjo:
Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies. Comput. Methods Programs Biomed. 200: 105855 (2021) - [j13]Marta Saiz-Vivó, Adrián Colomer, Carles Fonfría, Luis Martí-Bonmatí, Valery Naranjo:
Supervised Domain Adaptation for Automated Semantic Segmentation of the Atrial Cavity. Entropy 23(7): 898 (2021) - [j12]Basilio Pueo, José J. López, José Manuel Mossi, Adrián Colomer, Jose M. Jimenez-Olmedo:
Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat. Sensors 21(3): 925 (2021) - [j11]Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo:
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE J. Biomed. Health Informatics 25(8): 3094-3104 (2021) - [c24]Rocío del Amor, Adrián Colomer, Carlos Monteagudo, María José Garzón, José Luis García-Giménez, Valery Naranjo:
A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data. EUSIPCO 2021: 1271-1275 - [c23]Gabriel García, Adrián Colomer, Rafael Verdú Monedero, Jose Dolz, Valery Naranjo:
A Self-Training Framework for Glaucoma Grading In OCT B-Scans. EUSIPCO 2021: 1281-1285 - [i11]Rocío del Amor, Adrián Colomer, Carlos Monteagudo, Valery Naranjo:
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation. CoRR abs/2102.09563 (2021) - [i10]Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo:
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI. CoRR abs/2104.09878 (2021) - [i9]Julio Silva-Rodríguez, Adrián Colomer, José Dolz, Valery Naranjo:
Self-learning for weakly supervised Gleason grading of local patterns. CoRR abs/2105.10420 (2021) - [i8]Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images. CoRR abs/2105.10445 (2021) - [i7]Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection. CoRR abs/2105.10490 (2021) - [i6]Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García, Adrián Colomer, Valery Naranjo:
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net. CoRR abs/2105.10556 (2021) - [i5]Gabriel García, Rocío del Amor, Adrián Colomer, Rafael Verdú Monedero, Juan Morales-Sánchez, Valery Naranjo:
Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks. CoRR abs/2106.13551 (2021) - [i4]Gabriel García, Anna Esteve, Adrián Colomer, David Ramos, Valery Naranjo:
A Novel Self-Learning Framework for Bladder Cancer Grading Using Histopathological Images. CoRR abs/2106.13559 (2021) - [i3]Gabriel García, Adrián Colomer, Rafael Verdú Monedero, José Dolz, Valery Naranjo:
A self-training framework for glaucoma grading in OCT B-scans. CoRR abs/2111.11771 (2021) - 2020
- [j10]Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Comput. Methods Programs Biomed. 195: 105637 (2020) - [j9]Adrián Colomer, Jorge Igual, Valery Naranjo:
Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images. Sensors 20(4): 1005 (2020) - [j8]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c22]Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer, Fernando López-Mir, Valery Naranjo:
Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net. ICIP 2020: 2501-2505 - [c21]Gabriel García, Rocío del Amor, Adrián Colomer, Valery Naranjo:
Glaucoma Detection From Raw Circumpapillary OCT Images Using Fully Convolutional Neural Networks. ICIP 2020: 2526-2530 - [c20]Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García, Adrián Colomer, Valery Naranjo:
Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET. IDEAL (1) 2020: 1-8 - [c19]Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo:
Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports. IDEAL (2) 2020: 148-155 - [c18]Gabriel García, Adrián Colomer, Valery Naranjo:
Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images. IDEAL (2) 2020: 156-164 - [i2]Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer, Fernando López-Mir, Valery Naranjo:
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net. CoRR abs/2005.11368 (2020) - [i1]Gabriel García, Rocío del Amor, Adrián Colomer, Valery Naranjo:
Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks. CoRR abs/2006.00027 (2020)
2010 – 2019
- 2019
- [j7]Ángel E. Esteban, Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. Comput. Methods Programs Biomed. 178: 303-317 (2019) - [j6]José Gabriel García, Adrián Colomer, Valery Naranjo:
First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning. Entropy 21(4): 356 (2019) - [j5]Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi:
Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment. IEEE Trans. Medical Imaging 38(9): 2211-2218 (2019) - [c17]Rocío del Amor, Sandra Morales, Adrián Colomer, José Manuel Mossi, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo:
Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images. EUSIPCO 2019: 1-5 - [c16]José Gabriel García, Adrián Colomer, Fernando López-Mir, José Manuel Mossi, Valery Naranjo:
Computer Aid-System to Identify the First Stage of Prostate Cancer Through Deep-Learning Techniques. EUSIPCO 2019: 1-5 - [c15]Julio Silva-Rodríguez, Adrián Colomer, Marcos Meseguer, Valery Naranjo:
Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. EUSIPCO 2019: 1-5 - [c14]Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. IDEAL (1) 2019: 39-46 - [c13]Pedro Pons, Reinier Noorda, Andrea Nevárez, Adrián Colomer, Vicente Pons Beltrán, Valery Naranjo:
Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images. IDEAL (2) 2019: 105-113 - [c12]Reinier Noorda, Andrea Nevárez, Adrián Colomer, Valery Naranjo, Vicente Pons Beltrán:
Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy. ISMICT 2019: 1-6 - 2018
- [j4]Adrián Colomer, Valery Naranjo, Thomas Janvier, José Manuel Mossi:
Evaluation of fractal dimension effectiveness for damage detection in retinal background. J. Comput. Appl. Math. 337: 341-353 (2018) - [c11]Adrián Colomer, Pablo Ruiz, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. ICIAR 2018: 639-649 - [c10]Ángel E. Esteban, Adrián Colomer, Valery Naranjo, María Á. Sales:
Granulometry-Based Descriptor for Pathological Tissue Discrimination in Histopathological Images. ICIP 2018: 1413-1417 - [c9]Cristiana Silva, Adrián Colomer, Valery Naranjo:
Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage. IDEAL (1) 2018: 164-173 - [c8]Joana Pereira, Adrián Colomer, Valery Naranjo:
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images. IDEAL (1) 2018: 174-183 - [c7]Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi:
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models. IDEAL (1) 2018: 224-232 - [c6]José Gabriel García, Adrián Colomer, Valery Naranjo, Francisco Peñaranda, María Á. Sales:
Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques. IDEAL (1) 2018: 642-650 - 2017
- [j3]Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting:
Assessment of sparse-based inpainting for retinal vessel removal. Signal Process. Image Commun. 59: 73-82 (2017) - [j2]Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer:
Retinal Disease Screening Through Local Binary Patterns. IEEE J. Biomed. Health Informatics 21(1): 184-192 (2017) - [c5]Adrián Colomer, Valery Naranjo, Jesús Angulo:
Colour normalization of fundus images based on geometric transformations applied to their chromatic histogram. ICIP 2017: 3135-3139 - 2016
- [j1]Adrián Colomer Granero, Félix Fuentes-Hurtado, Valery Naranjo Ornedo, Jaime Guixeres Provinciale, José M. Ausín, Mariano Alcañiz Raya:
A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents. Frontiers Comput. Neurosci. 10: 74 (2016) - 2015
- [c4]Adrián Colomer, Valery Naranjo, Jaime Guixeres, Juan Carlos Rojas, Javier Coret, Mariano Alcañiz Raya:
Brain Activity Quantification for Sport Audiovisual Content Visualization using EEG. BIOSIGNALS 2015: 145-149 - [c3]Sandra Morales, Kjersti Engan, Valery Naranjo, Adrián Colomer:
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. ICIP 2015: 4838-4842 - [c2]Sandra Morales, Valery Naranjo, Adrián Colomer, Mariano Alcañiz Raya:
Significant point characterization in fundus images. IPTA 2015: 331-336 - [c1]Adrián Colomer, Valery Naranjo, Kjersti Engan, Karl Skretting:
Retinal vessel inpainting using recursive least square dictionary learning algorithm. IPTA 2015: 429-433
Coauthor Index
Gabriel García 0001
aka: José Gabriel García
aka: José Gabriel García
Valery Naranjo
aka: Valery Naranjo Ornedo
aka: Valery Naranjo Ornedo
[j26] [j25] [c37] [c36] [c35] [i18] [i17] [i16] [j24] [j23] [c34] [c33] [c32] [c31] [i15] [i14] [i13] [i12] [j22] [j21] [j20] [c30] [c29] [c28] [c27] [c26] [c25] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j11] [c24] [c23] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [j10] [j9] [j8] [c22] [c21] [c20] [c19] [c18] [i2] [i1] [j7] [j6] [j5] [c17] [c16] [c15] [c14] [c13] [c12] [j4] [c11] [c10] [c9] [c8] [c7] [c6] [j3] [j2] [c5] [j1] [c4] [c3] [c2] [c1]
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