• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 44 matches

• 2017
• 
  Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
  Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. DLMIA/ML-CDS@MICCAI 2017: 143-150
• 
  Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan:
  Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography. DLMIA/ML-CDS@MICCAI 2017: 321-329
• 
  S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh:
  Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images. DLMIA/ML-CDS@MICCAI 2017: 74-82
• 
  Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman:
  Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials. DLMIA/ML-CDS@MICCAI 2017: 357-364
• 
  Siqi Bao, Pei Wang, Albert C. S. Chung:
  3D Randomized Connection Network with Graph-Based Inference. DLMIA/ML-CDS@MICCAI 2017: 47-55
• 
  Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof:
  Context-Based Normalization of Histological Stains Using Deep Convolutional Features. DLMIA/ML-CDS@MICCAI 2017: 135-142
• 
  Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman:
  EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. DLMIA/ML-CDS@MICCAI 2017: 373-381
• 
  Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Dale Hawley, Robert Rohling, Purang Abolmaesumi:
  Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms. DLMIA/ML-CDS@MICCAI 2017: 100-108
• 
  Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
  Fast Predictive Simple Geodesic Regression. DLMIA/ML-CDS@MICCAI 2017: 267-275
• 
  Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura:
  Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. DLMIA/ML-CDS@MICCAI 2017: 195-203
• 
  Ravnoor S. Gill, Seok-Jun Hong, Fatemeh Fadaie, Benoît Caldairou, Boris C. Bernhardt, Neda Bernasconi, Andrea Bernasconi:
  Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRI. DLMIA/ML-CDS@MICCAI 2017: 349-356
• 
  Azam Hamidinekoo, Reyer Zwiggelaar:
  Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images. DLMIA/ML-CDS@MICCAI 2017: 213-221
• 
  Xinzi He, Zhen Yu, Tianfu Wang, Baiying Lei:
  Skin Lesion Segmentation via Deep RefineNet. DLMIA/ML-CDS@MICCAI 2017: 303-311
• 
  Johannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs:
  Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. DLMIA/ML-CDS@MICCAI 2017: 341-348
• 
  Torsten Hopp, P. Cotic Smole, Nicole V. Ruiter:
  Automated Multimodal Breast CAD Based on Registration of MRI and Two View Mammography. DLMIA/ML-CDS@MICCAI 2017: 365-372
• 
  Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng:
  AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194
• 
  Sangheum Hwang, Sunggyun Park:
  Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 92-99
• 
  Amir Jamaludin, Timor Kadir, Andrew Zisserman:
  Self-supervised Learning for Spinal MRIs. DLMIA/ML-CDS@MICCAI 2017: 294-302
• 
  Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko:
  Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 285-293
• 
  Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta:
  Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI 2017: 83-91
• 
  Matthieu Lê, Jesse Lieman-Sifry, Felix Lau, Sean Sall, Albert Hsiao, Daniel Golden:
  Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI 2017: 109-116
• 
  Yuexiang Li, Linlin Shen:
  A Deep Residual Inception Network for HEp-2 Cell Classification. DLMIA/ML-CDS@MICCAI 2017: 12-20
• 
  Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou:
  Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 39-46
• 
  William Lotter, Greg Sorensen, David D. Cox:
  A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification. DLMIA/ML-CDS@MICCAI 2017: 169-177
• 
  Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim:
  Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI 2017: 56-64
• 
  Dheeraj Mundhra, Bharath Cheluvaraju, Jaiprasad Rampure, Tathagato Rai Dastidar:
  Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning. DLMIA/ML-CDS@MICCAI 2017: 178-185
• 
  Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori:
  3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. DLMIA/ML-CDS@MICCAI 2017: 222-230
• 
  Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim:
  A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology. DLMIA/ML-CDS@MICCAI 2017: 231-239
• 
  Arijit Patra, Weilin Huang, J. Alison Noble:
  Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video. DLMIA/ML-CDS@MICCAI 2017: 276-284
• 
  Yuru Pei, Yungeng Zhang, Haifang Qin, Gengyu Ma, Yuke Guo, Tianmin Xu, Hongbin Zha:
  Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression. DLMIA/ML-CDS@MICCAI 2017: 117-125

skipping 14 more matches