LABELS 2019

2019 Event (Shenzhen, China)

Schedule (Oct. 13, El Chino 1)

8:00  –  8:15:   Welcome
8:15  –  8:45:   Spotlights
8:45  –  9:45:   Interactive Session I
Break
10:00 – 11:00:   Keynote I (Annika Reinke)
11:00 – 11:45:   Oral Presentations (x3)
Lunch & Posters
13:00 – 14:00:   Interactive Session II
14:00 – 14:30:   Oral Presentations (x2)
14:30 – 15:30:   Keynote II (Bjoern Menze)
15:30 – 16:20:   Interactive Session III
16:20 – 16:30:   Awards and Closing
Break for Reception

Oral Session 1:

  • 11:00 — XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis
  • 11:15 — Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans
  • 11:30 — DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs

Oral Session 2:

  • 14:00 — The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018
  • 14:15 — Data Augmentation based on Substituting Regional MRI Volume Scores

Accepted Papers

XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis [html]
Bin Xie, Xiaoyu He, Shuang Zhao, Yi Li, Juan Su, Xinyu Zhao, Yehong Kuang, Yong Wang, Xiang Chen

Data Augmentation based on Substituting Regional MRI Volume Scores [html]
Tuo leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl

The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018 [html]
Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos

Comparison of active learning strategies applied to lung nodule segmentation in CT scans [html]
Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O’Neil

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs [html]
WenHui Lei, Huan Wang, Ran Gu, ShiChuan Zhang, GuoTai Wang

Mixture Density Networks for Existence-Aware Nuclei Detection [pdf]
Hamid Fehri, Ali Gooya, Korsuk Sirinukunwattana, Jens Rittscher, Alejandro Frangi

Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation [html]
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Luthi, Thomas Vetter

Weakly supervised segmentation from extreme points [html]
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu

Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks [html]
Elisa Chotzoglou, Bernhard Kainz

Semi-supervised video object segmentation as annotation tool for endoscopic video [pdf]
Tom Eelbode, Paul Suetens, Raf Bisschops, Frederik Maes