Search results for "DLMIA/ML-CDS@MICCAI"

Hits ?▲	Authors	Title	Venue	Year	Link
1	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	DBLP DOI BibTeX RDF
1	Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu	3D Convolutional Neural Networks for Classification of Functional Connectomes.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Zhou He, Siqi Bao, Albert C. S. Chung	3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Wei Dai 0003, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang 0025, Eric P. Xing	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Christian S. Perone, Julien Cohen-Adad	Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang 0002, Ahmed El Harouni, Tanveer F. Syeda-Mahmood	Integrating Deformable Modeling with 3D Deep Neural Network Segmentation.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang 0009, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi	Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Mohammad H. Jafari 0001, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong 0001, 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	DBLP DOI BibTeX RDF
1	Pei Wang, Albert C. S. Chung	Focal Dice Loss and Image Dilation for Brain Tumor Segmentation.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa 0005, Ana Maria Mendonça, Aurélio Campilho	UOLO - Automatic Object Detection and Segmentation in Biomedical Images.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Lihao Liu, Qi Dou 0001, Hao Chen 0011, Iyiola E. Olatunji, Jing Qin 0001, Pheng-Ann Heng	MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler	Handling Missing Annotations for Semantic Segmentation with Deep ConvNets.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Meng Li 0016, Shiwen Shen, Wen Gao 0001, William Hsu, Jason Cong	Computed Tomography Image Enhancement Using 3D Convolutional Neural Network.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Marc Combalia, Verónica Vilaplana	Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette	Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Zhenlin Xu, Zhengyang Shen, Marc Niethammer	Contextual Additive Networks to Efficiently Boost 3D Image Segmentations.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Danail Stoyanov, Zeike Taylor, Gustavo Carneiro 0001, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi (eds.)	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	2018	DBLP DOI BibTeX RDF
1	Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez 0002, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel	Weakly Supervised Localisation for Fetal Ultrasound Images.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Haijun Lei, Yujia Zhao, Baiying Lei	Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai 0003, Eric P. Xing	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Heran Yang, Jian Sun 0009, Aaron Carass, Can Zhao 0001, Junghoon Lee, Zongben Xu, Jerry L. Prince	Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen 0001, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen 0001	Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Delaram Behnami, Christina Luong 0001, 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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Mengliu Zhao, Ghassan Hamarneh	TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Lei Xiang, Yang Li 0010, Weili Lin, Qian Wang 0001, Dinggang Shen	Unpaired Deep Cross-Modality Synthesis with Fast Training.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Ruggiero Santeramo, Samuel Withey, Giovanni Montana	Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso	PIMMS: Permutation Invariant Multi-modal Segmentation.	DLMIA/ML-CDS@MICCAI	2018	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan	Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Amir Jamaludin, Timor Kadir, Andrew Zisserman	Self-supervised Learning for Spinal MRIs.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Carole H. Sudre, Wenqi Li 0001, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Zhipeng Ding, Greg M. Fleishman, Xiao Yang 0002, Paul Thompson 0001, Roland Kwitt, Marc Niethammer	Fast Predictive Simple Geodesic Regression.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Dheeraj Mundhra, Bharath Cheluvaraju, Jaiprasad Rampure, Tathagato Rai Dastidar	Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Azam Hamidinekoo, Reyer Zwiggelaar	Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Arijit Patra, Weilin Huang, J. Alison Noble	Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Xiaowei Hu 0001, Lequan Yu, Hao Chen 0011, Jing Qin 0001, Pheng-Ann Heng	AGNet: Attention-Guided Network for Surgical Tool Presence Detection.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Jie Wei, Yong Xia 0001	Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Ohad Shitrit, Tammy Riklin Raviv	Accelerated Magnetic Resonance Imaging by Adversarial Neural Network.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Vitalis Wiens, Sarah Thiele, Frank G. Holz, Robert Patrick Finger, Thomas Schultz 0001	CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence Tomography.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong 0001, 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	DBLP DOI BibTeX RDF
1	Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee 0001, Won-Ki Jeong	ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum	End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Yuexiang Li, Linlin Shen	A Deep Residual Inception Network for HEp-2 Cell Classification.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Xinzi He, Zhen Yu, Tianfu Wang 0001, Baiying Lei	Skin Lesion Segmentation via Deep RefineNet.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Sangheum Hwang, Sunggyun Park	Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Daniel Bug, Steffen Schneider 0001, 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	DBLP DOI BibTeX RDF
1	Abhay Shah, Michael D. Abràmoff, Xiaodong Wu 0001	Simultaneous Multiple Surface Segmentation Using Deep Learning.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou 0001	Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro 0001, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso 0001, Vasileios Belagiannis, Zhi Lu (eds.)	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	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim	A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Siqi Bao, Pei Wang, Albert C. S. Chung	3D Randomized Connection Network with Graph-Based Inference.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Min Tang, Sepehr Valipour, Zichen Zhang 0001, Dana Cobzas, Martin Jägersand	A Deep Level Set Method for Image Segmentation.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo	Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, Roger C. Tam	Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Kim-Han Thung, Pew-Thian Yap, Dinggang Shen	Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu 0001, Daniel J. Mollura	Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	Michal Sofka, Fausto Milletari, Jimmy Jia, Alex Rothberg	Fully Convolutional Regression Network for Accurate Detection of Measurement Points.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	William Lotter, Greg Sorensen, David D. Cox	A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification.	DLMIA/ML-CDS@MICCAI	2017	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF

Publications at "DLMIA/ML-CDS@MICCAI"( http://dblp.L3S.de/Venues/DLMIA/ML-CDS@MICCAI )