DLMIA/ML-CDS@MICCAI

Keyphrases

Publications

2018

Zhou He, Siqi Bao, Albert C. S. Chung
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI (2018)
Liesbeth Vandewinckele, David Robben, Wouter Crijns, Frederik Maes
Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI (2018)
Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data. DLMIA/ML-CDS@MICCAI (2018)
Mayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger, Mariappan S. Nadar, Sasa Grbic, Dorin Comaniciu
Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images. DLMIA/ML-CDS@MICCAI (2018)
Christian S. Perone, Julien Cohen-Adad
Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets. DLMIA/ML-CDS@MICCAI (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI (2018)
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network. DLMIA/ML-CDS@MICCAI (2018)
Roman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr
Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning. DLMIA/ML-CDS@MICCAI (2018)
Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI (2018)
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM. DLMIA/ML-CDS@MICCAI (2018)
Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI (2018)
Delaram Behnami, Christina Luong, Hooman Vaseli, Amir H. Abdi, Hany Girgis, Dale Hawley, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography. DLMIA/ML-CDS@MICCAI (2018)
Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen
Unpaired Deep Cross-Modality Synthesis with Fast Training. DLMIA/ML-CDS@MICCAI (2018)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. DLMIA/ML-CDS@MICCAI (2018)
Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. DLMIA/ML-CDS@MICCAI (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Yechiel Lamash, Sila Kurugol, Simon K. Warfield
Semi-automated Extraction of Crohns Disease MR Imaging Markers Using a 3D Residual CNN with Distance Prior. DLMIA/ML-CDS@MICCAI (2018)
Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. DLMIA/ML-CDS@MICCAI (2018)
Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel
Weakly Supervised Localisation for Fetal Ultrasound Images. DLMIA/ML-CDS@MICCAI (2018)
Zhenlin Xu, Zhengyang Shen, Marc Niethammer
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. DLMIA/ML-CDS@MICCAI (2018)
Felix Lau, Tom Hendriks, Jesse Lieman-Sifry, Sean Sall, Daniel Golden
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans. DLMIA/ML-CDS@MICCAI (2018)
Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets
Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI (2018)
Marc Combalia, Verónica Vilaplana
Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. DLMIA/ML-CDS@MICCAI (2018)
Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi
F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI (2018)
Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. DLMIA/ML-CDS@MICCAI (2018)
Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Zara Alaverdyan, Jiazheng Chai, Carole Lartizien
Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection. DLMIA/ML-CDS@MICCAI (2018)
Firat Özdemir, Zixuan Peng, Christine Tanner, Philipp Fürnstahl, Orçun Göksel
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy. DLMIA/ML-CDS@MICCAI (2018)
Lee B. Reid, Alex M. Pagnozzi
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps. DLMIA/ML-CDS@MICCAI (2018)
Mengliu Zhao, Ghassan Hamarneh
TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees. DLMIA/ML-CDS@MICCAI (2018)
Pei Wang, Albert C. S. Chung
Focal Dice Loss and Image Dilation for Brain Tumor Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI (2018)
Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification. DLMIA/ML-CDS@MICCAI (2018)
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
UOLO - Automatic Object Detection and Segmentation in Biomedical Images. DLMIA/ML-CDS@MICCAI (2018)
Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. DLMIA/ML-CDS@MICCAI (2018)
Haijun Lei, Yujia Zhao, Baiying Lei
Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease. DLMIA/ML-CDS@MICCAI (2018)
Sandip Sadhukhan, Goutam Kumar Ghorai, Souvik Maiti, Vikrant Anilrao Karale, Gautam Sarkar, Ashis Kumar Dhara
Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape Features. DLMIA/ML-CDS@MICCAI (2018)
Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. DLMIA/ML-CDS@MICCAI (2018)
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. DLMIA/ML-CDS@MICCAI (2018)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI (2018)
Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI (2018)

volume 11045, 2018

Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI 11045 (2018)

2017

volume 10553, 2017

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI 10553 (2017)