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Guest editorial for the IJCARS special issue on MICCAI 2017

Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, Louis D. Collins, Simon Duchesne
2018 International Journal of Computer Assisted Radiology and Surgery  
In closing, we would like to thank all members of the Program Committee as well as the reviewers for their support during the entire MICCAI 2017 and IJCARS Special Issue process.  ...  We feel confident that this Special Issue provides an interesting window into this body of work and will entice readers to continue their association with, or join anew the MICCAI community. papers touched  ... 
doi:10.1007/s11548-018-1847-y pmid:30120692 fatcat:3mi2zk4ocbdsphcnzr55ppxdpa

Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations

João Manuel R. S Tavares, Shuo Li
2020 Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization  
Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations Imaging and Visualisation are among the most dynamic and innovative areas of research of the past  ...  S Tavares & Shuo Li (2020) Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations, Computer Methods in Biomechanics and Biomedical Engineering: Imaging  ... 
doi:10.1080/21681163.2020.1847814 fatcat:ghr6flbizvekplm7osi3rslkuu

Guest editorial of the IJCARS MICCAI 2016 special issue

Sebastien Ourselin, Mert R. Sabuncu, William Wells, Leo Joskowicz, Gozde Unal, Andreas Maier
2017 International Journal of Computer Assisted Radiology and Surgery  
Six of the 18 invited papers made it through the review process for this special issue which we proudly present in the following.  ...  The papers that scored best in this process got invitations to special issues in the International Journal of Computer Assisted Radiology and Surgery and Medical Image Analysis.  ...  We believe that this special issue provides a representative selection from the various topics covered in MICCAI. We hope that the readers will enjoy this collection of papers.  ... 
doi:10.1007/s11548-017-1642-1 pmid:28744837 fatcat:xjnolunu7jdpzezk52ix3fylcy

Dataset Growth in Medical Image Analysis Research

Nahum Kiryati, Yuval Landau
2021 Journal of Imaging  
Thereupon, we had issued a forecast for dataset sizes in MICCAI 2019 well before the conference.  ...  The median dataset size had grown by 3–10 times from 2011 to 2018, depending on imaging modality.  ...  Based on this analysis, we issue predictions regarding dataset sizes in the MICCAI 2020 conference (its analysis is beyond the scope of this research) and the MICCAI 2021 conference, noting that it has  ... 
doi:10.3390/jimaging7080155 pmid:34460791 fatcat:7b5lu44hbvbd7jmaegmtpdmdiu

Guest Editors' Foreword

Pascal Fallavollita, Marta Kersten, Cristian A. Linte, Philip Pratt, Ziv Yaniv
2017 Healthcare technology letters  
Sacks and the accompanying Opinion Piece on Mitral Valve Modeling and Simulation appearing in this Special Issue. Dr.  ...  Virtual and Augmented Reality Challenges in Clinical Neurosurgery included in this Special Issue.  ... 
doi:10.1049/htl.2017.0078 pmid:29184653 pmcid:PMC5683192 fatcat:u4npivom2nhe7fied6sarpjz3u

The Liver Tumor Segmentation Benchmark (LiTS) [article]

Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczyǹski (+44 others)
2019 arXiv   pre-print
Conference On Medical Image Computing Computer Assisted Intervention (MICCAI) 2017.  ...  The submitted algorithms have been tested on 70 undisclosed volumes.  ...  The second LiTS benchmark was held on September 14, 2017 in Quebec City, Canada as a MICCAI 2017 workshop.  ... 
arXiv:1901.04056v1 fatcat:25ekt2znl5adnd5laap4ez6a4y

Fully convolutional neural networks for polyp segmentation in colonoscopy

Patrick Brandao, Evangelos Mazomenos, Gastone Ciuti, Renato Caliò, Federico Bianchi, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, Danail Stoyanov, Samuel G. Armato, Nicholas A. Petrick
2017 Medical Imaging 2017: Computer-Aided Diagnosis  
We validate our framework on the 2015 MICCAI polyp detection challenge dataset, surpassing the state-of-the-art in automated polyp detection.  ...  Colorectal cancer (CRC) is one of the most common and deadliest forms of cancer, accounting for nearly 10% of all forms of cancer in the world.  ...  To combat this issue, a validation framework was proposed in the 2015 MICCAI sub-challenge on automatic polyp detection. 7 The problem of automatic polyp detection is quite challenging.  ... 
doi:10.1117/12.2254361 dblp:conf/micad/BrandaoMCCBMDKA17 fatcat:7pgzag3xhraqxfendqdstj3mny

Special Issue on Biomedical Big Data: Understanding, Learning and Applications

Jun Zhu, An-An Liu, Mei Chen, Tolga Tasdizen, Hang Su
2017 IEEE Transactions on Big Data  
Qiang Yang for the support and advice for this special issue.  ...  The second part of the special issue contains three articles that focus on the tracking and detection problem of cells in microscopy images.  ... 
doi:10.1109/tbdata.2017.2772930 fatcat:7bvw2qci6vcltiwtenlcqyvaiu

Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence

Zixing Zhang, Dimitris n. Metaxas, Hung-Yi Lee, Bjorn W. Schuller
2020 IEEE Transactions on Emerging Topics in Computational Intelligence  
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence I.  ...  Specifically, the special issue is organized as follows.  ... 
doi:10.1109/tetci.2020.3006295 fatcat:yooqkhmmnrg5jcblgngfmikedi

Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics

Kuangyu Shi, Fei Gao, Nassir Navab, Julia Schnabel, Pengcheng Shi, Sibylle I. Ziegler
2017 Computerized Medical Imaging and Graphics  
addressed in this special issue.  ...  This special issue covers the topics of several classical and emerging molecular imaging modalities such as positron emission tomography (PET) (Lu et al., 2017 , Paul et al., 2017 , Karakatsanis et al  ... 
doi:10.1016/j.compmedimag.2017.06.006 pmid:28701281 fatcat:lj5xcr47srbxvmkaklizellzzu

Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation

Sandra González-Villà, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó
2017 NeuroImage: Clinical  
and MICCAI'12).  ...  On the other hand, FIRST is more affected when the lesions are overlaid or close to the structure of analysis.  ...  These last lesions have a special shape that depends on the morphology of the LV and non-rigid deforming the original lesions allows getting adapted to that structure.  ... 
doi:10.1016/j.nicl.2017.05.003 pmid:28540179 pmcid:PMC5430150 fatcat:w6tdevhqmjgabjl7ruvridjaj4

Diabetic Foot Ulcers Grand Challenge 2023 [article]

Moi Hoon Yap, Neil Reeves, Bill Cassidy, Connah Kendrick, Andrew Boulton, Satyan Rajbhandari, David Armstrong, Arun G. Maiya, Bijan Najafi, Claire O'Shea
2022 Zenodo  
References [1] Goyal, M., Yap, M.H., Reeves, N.D., Rajbhandari, S. and Spragg, J., 2017, October. Fully convolutional networks for diabetic foot ulcer segmentat [...]  ...  In an effort to improve patient care and reduce the strain on healthcare systems, recent research has focused on the creation of detection algorithms that could be used as part of a mobile app that patients  ...  Our first two MICCAI challenges (DFUC2020 and DFUC2021) were sponsored by NVIDIA, who provided the prizes for the winning team, so we do not anticipate any issues sourcing prizes for 2023. e) Define the  ... 
doi:10.5281/zenodo.6362522 fatcat:lzt7iydltne7lkkits2ei5fy7a

Diabetic Foot Ulcers Grand Challenge 2022 [article]

Moi Hoon Yap, Neil Reeves, Andrew Boulton, Satyan Rajbhandari, David Armstrong, Arun G. Maiya, Bijan Najafi, Eibe Frank, Justina Wu
2021 Zenodo  
In 2017 IEEE international conference on systems, man, and cybernetics (SMC) (pp. 618-623). IEEE. [2] Cassidy B. et al., 2020.  ...  In an effort to improve patient care and reduce the strain on healthcare systems, recent research has focused on the creation of detection algorithms that could be used as part of a mobile app that patients  ...  Our first MICCAI challenge (2020) was sponsored by NVIDIA, who provided the prize for the winning team, so we do not anticipate any issues sourcing prizes for 2022. e) Define the policy for result announcement  ... 
doi:10.5281/zenodo.6388996 fatcat:jbji5yh4yjbjnf3dhuzr6vqnfm

Neural Network based Whole Heart Segmentation from 3D CT images

Marija Habijan, Hrvoje Leventić, Irena Galić, Danilo Babin
2020 International journal of electrical and computer engineering systems  
Evaluation of the proposed approach is performed on CT images from MICCAI 2017 Multi-Modality Whole Heart Segmentation Challenge dataset, delivering in a three-fold cross-validation an average dice coefficient  ...  To overcome issues of using small datasets, various data augmentation techniques have been developed.  ...  The results were evaluated on the five CT volumes from the MICCAI 2017 Multi-Modality Whole Heart Segmentation challenge.  ... 
doi:10.32985/ijeces.11.1.3 fatcat:liibn2x7ivfgzipphmbknq4bfy

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications [article]

Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang
2022 arXiv   pre-print
Recently, automated statistical imaging analysis techniques have been proposed to detect and segment MS lesions based on MRI voxel intensity.  ...  Traditionally, MS lesions have been manually annotated on 2D MRI slices, a process that is inefficient and prone to inter-/intra-observer errors.  ...  CONCLUSION AND FUTURE DIRECTIONS We reviewed recent methodologies for MS lesion segmentation, with a special focus on deep-learning approaches.  ... 
arXiv:2104.10029v3 fatcat:elds3foafrdc5ireld5wahp5ra
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