| 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 |