8:00 Opening

  • Veronika Cheplygina – Welcome

8:15-9:00  Invited talk

  • Emanuele Trucco – Navigating the perilous waters of validation: the case of retinal image analysis Slides

9:00-9:45  Invited talk

  •  Danna Gurari – Mixing Crowds, Computers, and Experts for Scalable Annotation of Biomedical Images. Slides

9:45 -11:15 Posters (Poster spotlights at 9:45, coffee at 10:00)

  • All accepted papers and abstracts

11:15-11:45 Contributed talks 

  • Chuanhai Zhang et al – Real Data Augmentation for Medical Image Classification
  • Alison Q. O’Neil et al – Crowdsourcing labels for pathological patterns in CT lung scans: Can non-experts contribute expert-quality ground truth?

11:45-12:30 Invited talk

  • Tanveer Syeda-Mahmood – Challenges of large-scale data annotations for building cognitive medical assistants


Accepted papers


Real Data Augmentation for Medical Image Classification PDF
Chuanhai Zhang, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen, JungHwan Oh

Crowdsourcing labels for pathological patterns in CT lung scans: Can non-experts contribute expert-quality ground truth? PDF
Alison Q. O’Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman

Exploring the similarity of medical imaging classification problems PDF
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien Pluim

Detecting and Classifying Nuclei on a Budget PDF
Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki

Towards An Efficient Way of Building Annotated Medical Image Collections for Big Data Studies PDF
Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin Compas, Tanveer Syeda-Mahmood

Expected exponential loss for gaze-based video and volume ground truth annotation PDF
Laurent Lejeune, Mario Christoudias, Raphael Sznitman

SwifTree: Interactive Extraction of 3D Trees Supporting Gaming and Crowdsourcing PDF
Ghassan Hamarneh and Mian L Huang

Crowdsourced emphysema assessment PDF
Silas N Ørting, Veronika Cheplygina, Jens Petersen, Laura Thomsen, Mathilde Winkler, Marleen de Bruijne

A Web-based Platform for Distributed Annotation of Computerized Tomography Scans PDF
Nicholas Heller, Panagiotis Stanitsas, Vassilios Morellas, Nikolaos Papanikolopoulos

Training Deep Convolutional Neural Networks with Active Learning for Exudate Classi cation in Eye Fundus Images PDF
Juan S Otálora Montenegro, Oscar J Perdomo, Henning Müller, Fabio A. Gonzalez

Uncertainty Driven Fully Convolutional Networks for Histopathology Image Segmentation PDF
Aicha BenTaieb, Ghassan Hamarneh


Accepted abstracts

10 Years of Grand MICCAI Challenges – Curse and Blessing 
Matthias Eisenmann, Patrick Scholz, Marko Stankovic, Annika Reinke, Sinan Onogur, Pierre Jannin, Christian Stock, Lena Maier-Hein

How many radiologists does it take to reliably delineate a tumor? A large-scale clinical study of observer variability PDF
D. Cohen, L. Joskowicz, N. Caplan, J. Sosna

A Fiji Tool for Automatic Fusion of Segmentation and Tracking Labels PDF
Vladimír Ulman, Martin Maska, David Svoboda, Michal Kozubek

How to Create the Largest In-Vivo Endoscopic Dataset PDF
Veith Roethlingshoefer, Sebastian Bittel, Hannes Kenngott, Martin Wagner, Sebastian Bodenstedt, Tobias Ross, Stefanie Speidel, Lena Maier-Hein