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Results
Found 30 publication records. Showing 30 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer |
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification.  |
MLCN/RNO-AI@MICCAI  |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Batool Rathore, Muhammad Awais 0002, Muhammad Usama Usman, Imran Shafi, Waqas Ahmed |
Using Functional Magnetic Resonance Imaging and Personal Characteristics Features for Detection of Neurological Conditions. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman |
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat |
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse |
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert |
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Jianyuan Zhang, Feng Shi 0001, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian |
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sadia Anjum, Lal Hussain, Mushtaq Ali, Adeel Ahmed Abbasi |
Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi |
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, Ulas Bagci |
State-of-the-Art in Brain Tumor Segmentation and Current Challenges. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren 0001 |
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Guy Leroy, Daniel Rueckert, Amir Alansary |
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Yannick Suter, Urspeter Knecht, Roland Wiest, Ekkehard Hewer, Philippe Schucht, Mauricio Reyes 0001 |
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti |
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche |
Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Ling-Li Zeng, Christopher R. K. Ching, Zvart Abaryan, Sophia I. Thomopoulos, Kai Gao, Alyssa H. Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren E. Salminen, Brandalyn C. Riedel, Neda Jahanshad, Dewen Hu, Paul M. Thompson |
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, Jayant Jagtap |
Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Muhammad Tahir 0006 |
Brain MRI Classification Using Gradient Boosting. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sergio Tascon-Morales, Stefan Hoffmann, Martin Treiber, Daniel Mensing, Arnau Oliver, Matthias Günther, Johannes Gregori |
Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Alena-Kathrin Schnurr, Philipp Eisele, Christina Rossmanith, Stefan Hoffmann, Johannes Gregori, Andreas Dabringhaus, Matthias Kraemer, Raimar Kern, Achim Gass, Frank G. Zöllner |
Deep Voxel-Guided Morphometry (VGM): Learning Regional Brain Changes in Serial MRI. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci |
Brain Tumor Survival Prediction Using Radiomics Features. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang 0002, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar (eds.) |
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Yae Won Park, Ji Eun Park, Sungsoo Ahn, Hwiyoung Kim, Ho Sung Kim, Seung-Koo Lee |
Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Jay B. Patel, Mishka Gidwani, Ken Chang, Jayashree Kalpathy-Cramer |
Radiomics and Radiogenomics with Deep Learning in Neuro-oncology. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert |
Patch-Based Brain Age Estimation from MR Images. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput |
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz |
Generalizing MRI Subcortical Segmentation to Neurodegeneration. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Asma Shaheen, Stefano Burigat, Ulas Bagci, Hassan Mohy-ud-Din |
Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz |
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Alexandra Razorenova, Nikolay B. Yavich, Mikhail S. Malovichko, Maxim V. Fedorov, Nikolay A. Koshev, Dmitry V. Dylov |
Deep Learning for Non-invasive Cortical Potential Imaging. |
MLCN/RNO-AI@MICCAI |
2020 |
DBLP DOI BibTeX RDF |
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