08:00-08:30
Registration
Session 1
Chairs: Nasir Rajpoot, Mitko Veta
08:30-08:50
Opening, LYSTO introduction, Release LYSTO test set
08:50-09:30
Invited talk: Jonny Hancox, NVIDIA
"Challenges of Deep Learning at Scale"
Deep Learning in Medical Imaging is particularly difficult owing to the large, multi-dimensional images and extremely subtle features. Nowhere is this challenge more profound than Computational Pathology with its huge, high resolution images. In this talk Jonny will outline some of the specific issues that are unique to this domain and how NVIDIA and its customers and partners are seeking to address these challenges.
09:30-09:50
DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Guenter Schmidt, Nicolas Brieu
09:50-10:10
Stain Standardization Capsule: A pre-processing module for histopathological image analysis
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Jun Shi, Fengying Xie
10:10-10:30
Coffee break
Session 2
Chairs: Francesco Ciompi, Zhang Li
10:30-11:10
Invited talk: Jun Xu, School of Automation, Nanjing University of Information Science & Technology
"Computational Pathology for Precision Medicine"11:10-11:30
Self-Supervised Similarity Learning for Digital Pathology
Jacob Gildenblat, Eldad Klaiman
11:30-11:50
A Generic Neural Network Approach to Infer Segmenting Classifiers for Disease-Associated Regions in Medical Images
David Schuhmacher, Klaus Gerwert, Axel Mosig
11:50-12:00
LYSTO Q/A
12:00-13:30
Lunch + poster session
Posters
DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Guenter Schmidt, Nicolas Brieu
Stain Standardization Capsule: A pre-processing module for histopathological image analysis
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Jun Shi, Fengying Xie
Self-Supervised Similarity Learning for Digital Pathology
Jacob Gildenblat, Eldad Klaiman
A Generic Neural Network Approach to Infer Segmenting Classifiers for Disease-Associated Regions in Medical Images
David Schuhmacher, Klaus Gerwert, Axel Mosig
MicroGAN: Size-invariant Learning of GAN for Super-Resolution of Microscopic Images
Srishti Gautam, Deepak Kumar Pradhan, Prakash Chandra Chhipa, Shinya Nakajima
Graph Convolutional Networks for Cervical Cell Classification
Jun Shi, Ruoyu Wang, Yushan Zheng, Zhiguo Jiang, Lanlan Yu
A Hybrid Pipeline to Assess Oestrogen Receptor Stained Nuclei in Invasive Breast Cancer
Hammam M. AlGhamdi, Maryam Althobiti, Talha Qaiser, Andrew R. Green, Shan E Ahmed Raza, Emad A. Rakha, and Nasir Rajpoot
Session 3
Chairs: Tao Tan, Shadi Albarqouni
13:30-14:10
Invited talk: Raghavan Venugopal, Director of Imaging and Algorithms at Roche
14:10-14:30
NuClick: From Clicks in the Nuclei to Nuclear Boundaries
Mostafa Jahanifar, Navid Alemi Koohbabnani, Nasir Rajpoot
14:30-14:50
Quantitative assessment of colorectal cancer via conditional generative adversarial networks
Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
14:50-15:00
LYSTO Q/A
15:00-16:00
Coffee break + poster session
Posters
NuClick: From Clicks in the Nuclei to Nuclear Boundaries
Mostafa Jahanifar, Navid Alemi Koohbabnani, Nasir Rajpoot
Quantitative assessment of colorectal cancer via conditional generative adversarial networks
Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schoenmeyer, Christoc G Gavriel, Peter D Caie, Guenter Schmidt
Fast and stable color normalization of whole slide histopathology images using deep texture and color moment matching
Kyohei Sano, Daisuke Komura, Shumpei Ishikawa
A closer look at domain shift for deep learning in histopathology
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
Graph-based Classification of Intestinal Glands in Colorectal Cancer Tissue Images
Linda Studer, Shushan Toneyan, Inti Zlobec, Heather Dawson, Andreas Fischer
Refinement of Weak Annotations for the Segmentation of Bone Marrow Leukocytes
Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Supervised and Unsupervised Cell-Nuclei Detection in Immunohistology
Daniel Bug, Philipp Gräbel, Friedrich Feuerhake, Eva Oswald, Julia Schüler, Dorit Merhof
16:00-16:20
Talks organizing committee
16:20-16:30
LYSTO winner award, presentation winning team, closing