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ORCIDCOMPAY/OMIA@MICCAI 2018: Granada, Spain
- Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna
, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic:
Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9
First International Workshop on Computational Pathology, COMPAY 2018
- Yusuf H. Roohani, Eric G. Kiss:
Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability. 3-10 - Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén:
Multi-resolution Networks for Semantic Segmentation in Whole Slide Images. 11-18 - Yongxiang Huang, Albert Chi-shing Chung:
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. 19-26 - Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani:
Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image. 27-34 - Mauricio Kugler, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani:
Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains. 35-43 - Nadine S. Schaadt, Anne Grote, Germain Forestier, Cédric Wemmert, Friedrich Feuerhake:
Role of Task Complexity and Training in Crowdsourced Image Annotation. 44-51 - Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan:
Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology. 52-60 - Alex Skovsbo Jørgensen, Jonas Emborg, Rasmus Røge, Lasse Riis Østergaard:
Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains. 61-68 - Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. 69-77 - Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. 78-85 - O. U. Nirmal Jith, K. K. Harinarayanan, Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao:
DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification. 86-94 - Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby:
Whole Slide Image Registration for the Study of Tumor Heterogeneity. 95-102 - Takashi Ohnishi, Shu Kashio, Takuya Ogawa, Kazuyo Ito, Stanislav S. Makhanov, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi:
Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network. 103-111 - Thomas de Bel, Meyke Hermsen, Geert Litjens, Jeroen van der Laak:
Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection. 112-119 - Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular Community Detection for Tissue Phenotyping in Histology Images. 120-129 - John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi:
Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. 130-138 - Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot:
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. 139-147 - Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller:
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. 148-155 - M. M. Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram, Nasir M. Rajpoot:
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. 156-164
5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018
- Huu-Giao Nguyen, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek, Damien C. Weber, Meritxell Bach Cuadra, Raphael Sznitman:
Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs. 167-175 - Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung:
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. 176-184 - Alessia Colonna, Fabio Scarpa, Alfredo Ruggeri:
Segmentation of Corneal Nerves Using a U-Net-Based Convolutional Neural Network. 185-192 - Andrea De Giusti, Simone Pajaro, Masaki Tanito:
Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images. 193-200 - Gabriel Lepetit-Aimon, Renaud Duval, Farida Cheriet:
Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images. 201-209 - Yibiao Rong, Kai Yu, Dehui Xiang, Weifang Zhu, Zhun Fan, Xinjian Chen:
Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming. 210-218 - Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning. 219-227 - Hongjiu Jiang, Yuhui Ma, Weifang Zhu, Ying Fan, Yihong Hua, Qiuying Chen, Xinjian Chen:
cGAN-Based Lacquer Cracks Segmentation in ICGA Image. 228-235 - Xu Sun, Yanwu Xu, Mingkui Tan, Huazhu Fu, Wei Zhao, Tianyuan You, Jiang Liu:
Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks. 236-244 - Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu:
Fundus Image Quality-Guided Diabetic Retinopathy Grading. 245-252 - Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng, Jiang Liu:
DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. 253-260 - Peng Liu, Zaiwang Gu, Fan Liu, Yuming Jiang, Shanshan Jiang, Haoyu Mao, Jun Cheng, Lixin Duan, Jiang Liu:
Large-Scale Left and Right Eye Classification in Retinal Images. 261-268 - Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu:
Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images. 269-276 - Samuel S. Johnson, Jui-Kai Wang, Mohammad Shafkat Islam, Matthew J. Thurtell, Randy H. Kardon, Mona Kathryn Garvin:
Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography. 277-284 - Fei Li, Zhe Wang, Guoxiang Qu, Yu Qiao, Xiulan Zhang:
Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network. 285-293 - Muthu Rama Krishnan Mookiah, Sarah McGrory, Stephen Hogg, Jackie Price, Rachel Forster, Thomas J. MacGillivray, Emanuele Trucco:
Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering. 294-302 - Tiziano Ronchetti, Peter Maloca, Emanuel Ramos de Carvalho, Tjebo F. C. Heeren, Konstantinos Balaskas, Adnan Tufail, Catherine Egan, Mali Okada, Selim Orgül, Christoph Jud, Philippe C. Cattin:
Feasibility Study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2. 303-309 - Marco Augustin, Danielle J. Harper, Conrad W. Merkle, Christoph K. Hitzenberger, Bernhard Baumann:
Segmentation of Retinal Layers in OCT Images of the Mouse Eye Utilizing Polarization Contrast. 310-318 - Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. 319-327 - Min Chen, James C. Gee, Jerry L. Prince, Geoffrey Karl Aguirre:
2D Modeling and Correction of Fan-Beam Scan Geometry in OCT. 328-335 - Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam:
A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. 336-343
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