Accepted papers

Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability
Yusuf H. Roohani and Eric G. Kiss

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images
Feng Gu, Nikolay Burlutskiy, Mats Andersson, and Lena Kajland Wilén

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network
Yongxiang Huang and Albert Chi-Shing Chung

Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image
Tomoshige Shimomura, Kugler Mauricio, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, and Hidekata Hontani

Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains
Mauricio Kugler, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, and Hidekata Hontani

Role of Task Complexity and Training in Crowdsourced Image Annotation
Nadine S. Schaadt, Anne Grote, Germain Forestier, Cedric Wemmert and Friedrich Feuerhake

Capturing global spatial context for accurate cell classification in skin cancer histology
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew Blackledge, Yann Jamin, Yinyin Yuan

Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains
Alex Skovsbo Jorgensen, Jonas Emborg, Rasmus Roge, and Lasse Riis Ostergaard

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkila, and Nasir Rajpoot

Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow
Philipp Grabel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brummendorf, and Dorit Merhof

DeepCerv: Deep neural network for segmentation free robust cervical cell classification
Nirmal Jith O.U, Harinarayanan K.K, Srishti Gautam, Arnav Bhavsar, and Anil K. Sao

Whole slide image registration for the study of tumor heterogeneity
Leslie Solorzano, Barbara Mesquita, Gabriela M. Almeida, Diana Martins, Carla Oliveira and Carolina Wahlby

Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network
Takashi Ohnishi, Shu Kashio, Takuya Ogawa, Kazuyo Ito, Stanislav S. Makhanov, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi

Structure instance segmentation in renal tissue: a case study on tubular immune cell detection
Thomas de Bel, Meyke Hermsen, Geert Litjens and Jeroen van der Laak

Cellular Community Detection for Tissue Classification
Sajid Javed, MM Fraz, David Epstein, David Snead, and Nasir M. Rajpoot

Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning
John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, and Francesco Ciompi 

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images
Navid Alemi Koohbanani, Talha Qaisar, Muhammad Shaban, Jevgenij Gamper, and Nasir Rajpoot

Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content
Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, and Henning Muller

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images
M.M.Fraz, M.Shaban, S.Graham, S.A.Khurram, N.M.Rajpoot
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