Selected Contributions

Oral presentations

  • TBA

Accepted papers

1 Automatic Classification of Low-Resolution Chromosomal Images Swati Swati; Monika Sharma; Lovekesh Vig
2 Synaptic Connectivity Detection by (Deep) Learning Signed Proximity and Pruning Toufiq Parag; Daniel Berger; Lee Kamentsky; Benedikt Staffler; Donglai Wei; Moritz Helmstaedter; Jeff Lichtman; Hanspeter Pfister
3 Instance Segmentation and Tracking of Neural Cells Jingru Yi; Pengxiang Wu; Menglin Jiang; Daniel J. Hoeppner; Dimitris Metaxas
4 Multi-level Activation for Segmentation of Hierarchically-nested Classes Marie Piraud; Anjany Sekuboyina; Bjoern Menze
5 Ordinal Regression with Neuron Stick-breaking for Medical Diagnosis Xiaofeng Liu; Yang Zou; Yuhang Song; Chao Yang; Jane You; B. V. K. Vijaya Kumar
6 Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images Yi Liu; Wayne Treible; Abhishek Kolagunda; Alex Nedo; Philip Saponaro; Jeffrey Caplan; Chandra Kambhamettu
7 Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data Tereza Nečasová; David Svoboda
8 A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology Milos Stanisavljevic; Andreea Anghel; Nikolaos Papandreou; Sonali Andani; Pushpak Pati; Jan Hendrik Rüschoff; Peter Wild; Maria Gabrani; Charalampos Pozidis
9 A Benchmark for Epithelial Cell Tracking Jan Funke; Lisa Mais; Dagmar Kainmüller
10 2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor Haifa F. Alhasson; Shuaa S. Alharbi; Boguslaw Obara
11 Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps Elisabeth Wetzer; Joakim Lindblad; Ida-Maria Sintorn; Kjell Hultenby; Natasa Sladoje
12 Deep Convolutional Neural Networks based Framework for Estimation of Stomata Density and Structure from Microscopic Images Swati Bhugra; Deepak Mishra; Anupama Anupama; Santanu Chaudhury; Brejesh Lall; Archana Chugh; Viswanathan Chinnusamy
13 Pre-training on Grayscale ImageNet Improves Medical Image Classification David Richmond; Yiting Xie
14 Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation Jae-Hyeok Lee; Seong Tae Kim; Hakmin Lee; Yong Man Ro
15 Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics Avelino Javer; Andre Brown; Jens Rittscher
16 Improved Dictionary Learning with Enriched Information for Biomedical Images William Shengda Luo; Alex Leung
17 Automatic Fusion of Segmentation and Tracking Labels Cem Akbaş; Michal Kozubek; Vladimir Ulman; Florian Jug; Martin Maška