Abstract is missing.
- Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI ScansMohammad Hamghalam, Baiying Lei, Tianfu Wang. 3-12 [doi]
- TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data AugmentationMiguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker. 13-22 [doi]
- Aneurysm Identification in Cerebral Models with Multiview Convolutional Neural NetworkMingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro F. Frangi. 23-31 [doi]
- Predicting Clinical Outcome of Stroke Patients with Tractographic FeaturePo-Yu Kao, Jefferson W. Chen, B. S. Manjunath. 32-43 [doi]
- Towards Population-Based Histologic Stain Normalization of GlioblastomaCaleb M. Grenko, Angela N. Viaene, MacLean P. Nasrallah, Michael D. Feldman, Hamed Akbari, Spyridon Bakas. 44-56 [doi]
- Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep LearningSiddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas. 57-68 [doi]
- Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue OutcomesChristian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich. 69-79 [doi]
- Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas SegmentationHuan Wang, Guotai Wang, Zijian Liu, Shaoting Zhang. 80-88 [doi]
- Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal DataMattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben. 98-107 [doi]
- Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRIJoshua Durso-Finley, Douglas L. Arnold, Tal Arbel. 108-118 [doi]
- Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical EvaluationBoris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin 0002, Ivan Osinov, Andrey Golanov, Mikhail Belyaev. 119-128 [doi]
- 3D U-Net Based Brain Tumor Segmentation and Survival Days PredictionFeifan Wang, Runzhou Jiang, Liqin Zheng, Chun Meng, Bharat Biswal. 131-141 [doi]
- Aggregating Multi-scale Prediction Based on 3D U-Net in Brain Tumor SegmentationMinglin Chen, Yaozu Wu, Jianhuang Wu. 142-152 [doi]
- Brain Tumor Synthetic Segmentation in 3D Multimodal MRI ScansMohammad Hamghalam, Baiying Lei, Tianfu Wang. 153-162 [doi]
- Multi-step Cascaded Networks for Brain Tumor SegmentationXiangyu Li, Gongning Luo, Kuanquan Wang. 163-173 [doi]
- TuNet: End-to-End Hierarchical Brain Tumor Segmentation Using Cascaded NetworksMinh H. Vu, Tufve Nyholm, Tommy Löfstedt. 174-186 [doi]
- Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like ArchitecturesNicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud. 187-199 [doi]
- Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time PredictionSoopil Kim, Miguel Luna, Philip Chikontwe, Sang-Hyun Park. 200-209 [doi]
- Bag of Tricks for 3D MRI Brain Tumor SegmentationYuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu. 210-220 [doi]
- Multi-resolution 3D CNN for MRI Brain Tumor Segmentation and Survival PredictionMehdi Amian, Mohammadreza Soltaninejad. 221-230 [doi]
- Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation TaskZeyu Jiang, Changxing Ding, Minfeng Liu, Dacheng Tao. 231-241 [doi]
- Memory-Efficient Cascade 3D U-Net for Brain Tumor SegmentationXinchao Cheng, Zongkang Jiang, Qiule Sun, Jianxin Zhang. 242-253 [doi]
- A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image InformationFlorian Kofler, Johannes C. Paetzold, Ivan Ezhov, Suprosanna Shit, Daniel Krahulec, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze. 254-261 [doi]
- Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNetMobarakol Islam, V. S. Vibashan, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren 0001. 262-272 [doi]
- Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction NetworkWei Shi, Enshuai Pang, Qiang Wu 0009, Fengming Lin. 273-283 [doi]
- Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival PredictionSubin Sahayam, Nanda H. Krishna, Umarani Jayaraman. 284-294 [doi]
- ONCOhabitats Glioma Segmentation ModelJavier Juan-Albarracín, Elies Fuster-García, María del Mar Álvarez-Torres, Eduard Chelebian, Juan M. García-Gómez. 295-303 [doi]
- Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival PredictionXue Feng 0001, Quan Dou, Nicholas J. Tustison, Craig H. Meyer. 304-314 [doi]
- Cascaded Global Context Convolutional Neural Network for Brain Tumor SegmentationDong Guo, Lu Wang, Tao Song, Guotai Wang. 315-326 [doi]
- Multi-task Learning for Brain Tumor SegmentationLeon Weninger, Qianyu Liu, Dorit Merhof. 327-337 [doi]
- Brain Tumor Segmentation and Survival PredictionRupal R. Agravat, Mehul S. Raval. 338-348 [doi]
- Improving Brain Tumor Segmentation with Multi-direction Fusion and Fine Class PredictionSun'ao Liu, Xiaonan Guo. 349-358 [doi]
- An Ensemble of 2D Convolutional Neural Network for 3D Brain Tumor SegmentationKamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan. 359-367 [doi]
- An Integrative Analysis of Image Segmentation and Survival of Brain Tumour PatientsSebastian Starke, Carlchristian Eckert, Alex Zwanenburg, Stefanie Speidel, Steffen Löck, Stefan Leger. 368-378 [doi]
- Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor SegmentationRichard McKinley, Michael Rebsamen, Raphael Meier, Roland Wiest. 379-387 [doi]
- Memory Efficient Brain Tumor Segmentation Using an Autoencoder-Regularized U-NetMarkus Frey, Matthias Nau. 388-396 [doi]