MIDL Submissions

RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning
Chen Brestel, Ran Shadmi, Itamar Tamir, Michal Cohen-Sfaty, Eldad Elnekave
- Feb 18, 2018 (edited Jun 22, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Priya Lakshmi Narayanan, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan
- Apr 11, 2018 (edited Jun 19, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound
Matthew D. Sinclair, Juan Cerrolaza Martinez, Emily Skelton, Yuanwei Li, Christian F. Baumgartner, Wenjia Bai, Jacqueline Matthew, Caroline L. Knight, Sandra Smith, Jo Hajnal, Andrew P. King, Bernhard Kainz, Daniel Rueckert
- Apr 11, 2018 (edited Jun 14, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Predicting Lesion Growth and Patient Survival in Colorectal Cancer Patients using Deep Neural Networks
Alexander Katzmann, Alexander Muehlberg, Michael Suehling, Dominik Noerenberg, Julian Walter Holch, Volker Heinemann, Horst-Michael Gross
- Apr 11, 2018 (edited Jun 13, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection
Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, Benjamin Hou, Ghislain Vaillant, Ben Glocker, Bernhard Kainz, Daniel Rueckert
- Apr 11, 2018 (edited Jun 13, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert
- Apr 11, 2018 (edited Jun 13, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Size-constraint loss for weakly supervised CNN segmentation
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
- Apr 11, 2018 (edited Jun 12, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Predictive Image Regression for Longitudinal Studies with Missing Data
Sharmin Pathan, Yi Hong
- Apr 11, 2018 (edited Jun 12, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification
Marc Combalia, Verónica Vilaplana
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Recurrent Inference Machines for Accelerated MRI Reconstruction
Kai Lønning, Patrick Putzky, Matthan W. A. Caan, Max Welling
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
OBELISK - One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis
Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Iteratively unveiling new regions of interest in Deep Learning models
Florian Bordes, Tess Berthier, Lisa Di Jorio, Pascal Vincent, Yoshua Bengio
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Improving Data Augmentation for Medical Image Segmentation
Zach Eaton-Rosen, Felix Bragman, Sebastien Ourselin, M. Jorge Cardoso
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs
Mauricio Orbes-Arteaga, Lauge Sørensen, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Mads Nielsen, Akshay Pai.
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Quality control in radiotherapy-treatment planning using multi-task learning and uncertainty estimation
Felix J.S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen, Ender Konukoglu
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Automatic multi-organ segmentation in dual energy CT using 3D fully convolutional network
Shuqing Chen, Xia Zhong, Shiyang Hu, Sabrina Dorn, Marc Kachelriess, Michael Lell, Andreas Maier
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Improving weakly-supervised lesion localization with iterative saliency map refinement
Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez
- Apr 11, 2018 (edited Jun 11, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: application to epilepsy lesion screening
Zara Alaverdyan, Julien Jung, Romain Bouet, Carole Lartizien
- Apr 11, 2018 (edited Jun 10, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Improved Semantic Segmentation for Histopathology using Rotation Equivariant Convolutional Networks
Jim Winkens, Jasper Linmans, Bastiaan S. Veeling, Taco S. Cohen, Max Welling
- Apr 11, 2018 (edited Jun 10, 2018)
- MIDL 2018 Abstract Submission
- Readers: Everyone
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks
Murat Seckin Ayhan, Philipp Berens
- Apr 11, 2018 (edited Jun 10, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Cancer Metastasis Detection With Neural Conditional Random Field
Yi Li, Wei Ping
- Apr 11, 2018 (edited Jun 10, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Unsupervised deformable image registration with fully connected generative neural network
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
- Apr 11, 2018 (edited Jun 09, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone
Towards Deep Cellular Phenotyping in Placental Histology
Michael Ferlaino, Craig A. Glastonbury, Carolina Motta-Mejia, Manu Vatish, Ingrid Granne, Stephen Kennedy, Cecilia M. Lindgren, Christoffer Nellaker
- Apr 09, 2018 (edited Jun 09, 2018)
- MIDL 2018 Conference Submission
- Readers: Everyone