9:30 – 10:00 Welcome and talk summary [Slides]
10:00 – 11:00 AM Papers + Spotlight presentations
11:00 – 11:30 Coffee Break
11:30 – 12:30 Keynote: Leo Joskowicz [Slides]
12:30 – 13:30 Joint workshop paper writing session (Interactive Session 1)
13:30 – 15:00 Lunch
15:00 – 16:00 Keynote: Tal Arbel [Slides]
16:00 – 16:30 PM Papers + Spotlight presentations
16:30 – 17:00 Coffee Break
17:00 – 18:45 Joint workshop paper writing session (Interactive Session 2)
18:45 – 19:00 Award and closing session

LABELS 2018 Detailed Schedule PDF

LABELS 2018 all accepted papers ZIP


Full papers

An Efficient and Comprehensive Labeling Tool for Large-scale Annotation of Fundus Images
Jaemin Son, Sangkeun Kim, Sang Jun Park, and Kyu-Hwan Jung
Slides | Paper

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Armine Vardazaryan, Didier Mutter, Jacques Marescaux, and Nicolas Padoy
Slides | Paper

Crowd disagreement about medical images is informative
Veronika Cheplygina, Josien P. W. Pluim
Slidese | Paper

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, and Nicolas Padoy
Slides | Paper

Generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts
Violeta Chang
Slides | Paper

Imperfect Segmentation Labels: How Much Do They Matter?
Nicholas Heller, Joshua Dean, and Nikolaos Papanikolopoulos
Slides | Paper

Capsule Networks against Medical Imaging Data Challenges
Amelia Jimenez-Sanchez, Shadi Albarqouni, Diana Mateus
Slides | Paper

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, and Marleen de Bruijne
Slides | Paper

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset
Obioma Pelka, Sven Koitka, Johannes Ruckert, Felix Nensa, and Christoph M. Friedrich
Slides | Paper

Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks
Praneeth Sadda, John A. Onofrey, and Xenophon Papademetris
Slides | Paper

Improving out-of-sample prediction of quality of MRIQC
Oscar Esteban, Russell A. Poldrack, and Krzysztof J. Gorgolewski
Slides | Paper

Crowdsourcing annotation of surgical instruments in videos of cataract surgery
Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, and S. Swaroop Vedula
Slides | Paper


A tracking-based method for video and volume annotation with sparse point supervision
Laurent Lejeune, Jan Grossrieder, and Raphael Sznitman
Slides | Paper

DeepLesion: a Diverse and Large-scale Database of Significant Radiology Image Findings
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Mohammadhadi Bagheri, Ronald M. Summers
Slides | Paper

MelaGo: Gamifying Medical Image Annotation
Vassilis Javed Khan, Pim Meijer, Michele Paludetti, Reka Magyari, Dominique van Berkum and Veronika Cheplygina
Slides | Paper

How can we do better? Pitfalls in biomedical challenge design and how to address them
Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew Bradley, Aaron Carass, Carolin Feldmann, Alejandro F Frangi, Peter Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A Landman, Keno März, Oskar Maier,  Klaus H. Maier-Hein, Bjoern Menze, Henning Müller, Peter F Neher, Wiro Niessen, Nasir Rajpoot, Gregory Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-Andre Weber, Guoyan Zheng, Pierre Jannin, Anette Kopp-Schneider, and Lena Maier-Hein
Slides | Paper

On the way of generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts
Violeta Chang
Slides | Paper

Crowdsourcing surgical activity summaries for phase recognition
Anand Malpani, Saranga Arora, S. Swaroop Vedula, Chi Chiung Grace Chen, Gregory D. Hager
Slides | Paper

Generating labels to solve inverse problems in computational biophotonics
Anant Vemuri, and Lena Maier-Hein
Slides | Paper