Islem Rekik - RankMe

231 papers B 2Misc 3Journal 106Unranked 97

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature. CoRR Devvrat Joshi, Islem Rekik
2026	—	`ed.`	Machine Learning in Medical Imaging - 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings MLMI@MICCAI Zhiming Cui, Islem Rekik, Heung-Il Suk, Xi Ouyang, Kaicong Sun, Sheng Wang
2026	J	`jnl`	Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. IEEE Trans. Medical Imaging Geng Chen, Qingyue Wang, Yuan Feng, Islem Rekik
2026	—	`ed.`	Predictive Intelligence in Medicine - 8th International Workshop, PRIME 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2026	J	`jnl`	Reservoir-Based Graph Convolutional Networks. CoRR Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub, Islem Rekik
2026	J	`jnl`	XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models. CoRR Thuraya Alzubaidi, Sana Ammar, Maryam Alsharqi, Islem Rekik, Muzammil Behzad
2025	—	`conf`	CogGNN: Cognitive Graph Neural Networks in Generative Connectomics. DGM4MICCAI@MICCAI Mayssa Soussia, Yijun Lin, Mohamed Ali Mahjoub, Islem Rekik
2025	J	`jnl`	CogGNN: Cognitive Graph Neural Networks in Generative Connectomics. CoRR Mayssa Soussia, Yijun Lin, Mohamed Ali Mahjoub, Islem Rekik
2025	J	`jnl`	DeltaGNN: Graph Neural Network with Information Flow Control. CoRR Kevin Mancini, Islem Rekik
2025	—	`conf`	Dependency Parsing-Based Syntactic Enhancement of Relation Extraction in Scientific Texts. EMNLP (Findings) Devvrat Joshi, Islem Rekik
2025	—	`ed.`	Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings FAIMI/EPIMI@MICCAI Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
2025	J	`jnl`	FALCON: Feature-Label Constrained Graph Net Collapse for Memory-Efficient GNNs. IEEE Trans. Neural Networks Learn. Syst. Christopher Adnel, Islem Rekik
2025	J	`jnl`	FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification. CoRR Prajit Sengupta, Islem Rekik
2025	—	`conf`	GNN-Based Unified Deep Learning. PRIME@MICCAI Furkan Pala, Islem Rekik
2025	J	`jnl`	GNN-based Unified Deep Learning. CoRR Furkan Pala, Islem Rekik
2025	—	`conf`	GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation. PRIME@MICCAI Yitong Luo, Islem Rekik
2025	J	`jnl`	GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation. CoRR Yitong Luo, Islem Rekik
2025	—	`ed.`	Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I MLMI@MICCAI (1) Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun
2025	—	`ed.`	Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II MLMI@MICCAI (2) Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun
2025	J	`jnl`	Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity. CoRR Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik
2025	—	`conf`	Multi-sensory Cognitive Computing for Learning Population-Level Brain Connectivity. MICCAI (12) Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik
2025	—	`conf`	Multimodal Sheaf-Based Network for Glioblastoma Molecular Subtype Prediction. AMAI@MICCAI Shekhnaz Idrissova, Islem Rekik
2025	J	`jnl`	Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction. CoRR Shekhnaz Idrissova, Islem Rekik
2025	—	`conf`	NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation. CLIP@MICCAI Devvrat Joshi, Islem Rekik
2025	J	`jnl`	NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation. CoRR Devvrat Joshi, Islem Rekik
2025	J	`jnl`	Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data. Medical Image Anal. Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2025	—	`ed.`	Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2025	J	`jnl`	Replica tree-based federated learning using limited data. Neural Networks Ramona Ghilea, Islem Rekik
2025	J	`jnl`	Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity. CoRR Pragya Singh, Islem Rekik
2025	—	`conf`	Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. ISBI Yicheng Leng, Syed Muhammad Anwar, Islem Rekik, Sen He, Eungjoo Lee
2025	J	`jnl`	Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection. CoRR Yicheng Leng, Syed Muhammad Anwar, Islem Rekik, Sen He, Eungjoo Lee
2025	J	`jnl`	UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation. CoRR Furkan Pala, Islem Rekik
2025	J	`jnl`	X-Node: Self-Explanation is All We Need. CoRR Prajit Sengupta, Islem Rekik
2025	—	`conf`	X-Node: Self-explanation is All We Need. GRAIL/RIME@MICCAI Prajit Sengupta, Islem Rekik
2024	—	`conf`	Cross-Atlas Brain Connectivity Mapping with Dual-Conditional Diffusion Model. BIBM Runlin Zhang, Geng Chen, Chengdong Deng, Jiquan Ma, Islem Rekik
2024	—	`conf`	DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification. MLMI@MICCAI (1) Jiameng Liu, Furkan Pala, Islem Rekik, Dinggang Shen
2024	—	`conf`	DuoGNN: Topology-Aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling. GRAIL@MICCAI Kevin Mancini, Islem Rekik
2024	J	`jnl`	DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling. CoRR Kevin Mancini, Islem Rekik
2024	—	`conf`	DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity. PRIME@MICCAI Scarlet Xiao, Islem Rekik
2024	J	`jnl`	Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen
2024	—	`conf`	Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion. PRIME@MICCAI Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik
2024	—	`ed.`	Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I MLMI@MICCAI (1) Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang
2024	—	`ed.`	Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II MLMI@MICCAI (2) Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang
2024	J	`jnl`	Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. CoRR Geng Chen, Qingyue Wang, Islem Rekik
2024	J	`jnl`	Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2024	—	`conf`	Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization. BIBM Bethlehem Megabiaw Tassew, Muhammad Adeel Ijaz, Geng Chen, Islem Rekik
2024	—	`conf`	Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. ISBI Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen
2024	—	`conf`	Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution. PRIME@MICCAI Pragya Singh, Islem Rekik
2024	J	`jnl`	Strongly Topology-preserving GNNs for Brain Graph Super-resolution. CoRR Pragya Singh, Islem Rekik
2024	—	`conf`	Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. CDMRI@MICCAI Jiquan Ma, Yujun Teng, Geng Chen, Haotian Jiang, Kai Zhang, Feihong Liu, Islem Rekik, Dinggang Shen
2024	—	`conf`	UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. MICCAI (2) Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen
2024	—	`conf`	UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks. MLMI@MICCAI (2) Atefe Hassani, Islem Rekik
2024	J	`jnl`	UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks. CoRR Atefe Hassani, Islem Rekik
2023	—	`conf`	Affordable Graph Neural Network Framework Using Topological Graph Contraction. MILLanD@MICCAI Christopher Adnel, Islem Rekik
2023	—	`ed.`	Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings CLIP/FAIMI/EPIMI@MICCAI Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023	J	`jnl`	Comparative survey of multigraph integration methods for holistic brain connectivity mapping. Medical Image Anal. Nada Chaari, Hatice Camgöz-Akdag, Islem Rekik
2023	—	`conf`	Diffusion-Based Graph Super-Resolution with Application to Connectomics. PRIME@MICCAI Nishant Rajadhyaksha, Islem Rekik
2023	J	`jnl`	FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs. CoRR Christopher Adnel, Islem Rekik
2023	J	`jnl`	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
2023	J	`jnl`	Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. IEEE Trans. Medical Imaging Zeynep Gürler, Islem Rekik
2023	—	`conf`	Federated Multi-domain GNN Network for Brain Multigraph Generation. PRIME@MICCAI Chun Xu, Islem Rekik
2023	—	`conf`	Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2023	—	`conf`	Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. DGM4MICCAI Jia Ji, Islem Rekik
2023	J	`jnl`	Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision. CoRR Bobby Azad, Reza Azad, Sania Eskandari, Afshin Bozorgpour, Amirhossein Kazerouni, Islem Rekik, Dorit Merhof
2023	J	`jnl`	Graph Neural Networks in Network Neuroscience. IEEE Trans. Pattern Anal. Mach. Intell. Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2023	J	`jnl`	Graph neural network based unsupervised influential sample selection for brain multigraph population fusion. Comput. Medical Imaging Graph. Mert Can Kurucu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2023	B	`conf`	Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. DSAA Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro
2023	—	`conf`	Predicting Shape Development: A Riemannian Method. ShapeMI@MICCAI Doga Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik
2023	J	`jnl`	Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks. Medical Image Anal. Oytun Demirbilek, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2023	—	`ed.`	Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi
2023	—	`conf`	RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery. PRIME@MICCAI Hizir Can Bayram, Mehmet Serdar Çelebi, Islem Rekik
2023	J	`jnl`	Replica Tree-based Federated Learning using Limited Data. CoRR Ramona Ghilea, Islem Rekik
2023	—	`conf`	Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. MLMI@MICCAI (2) Ramona Ghilea, Islem Rekik
2023	—	`conf`	Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline. PRIME@MICCAI Emircan Gündogdu, Islem Rekik
2023	J	`jnl`	Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. Comput. Medical Imaging Graph. Zeynep Gürler, Mohammed Amine Gharsallaoui, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping. CoRR Nada Chaari, Hatice Camgöz-Akdag, Islem Rekik
2022	—	`conf`	Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. MICCAI (1) Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022	J	`jnl`	Contrastive Graph Learning for Population-based fMRI Classification. CoRR Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022	—	`conf`	Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. ISGIE/GRAIL@MICCAI Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik
2022	J	`jnl`	Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. CoRR Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik
2022	—	`ed.`	Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022	—	`conf`	Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning. MICCAI (1) Fatih Said Duran, Abdurrahman Beyaz, Islem Rekik
2022	—	`ed.`	Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings EPIMI/ML-CDS@MICCAI John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij
2022	—	`conf`	Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints. PRIME@MICCAI Zeynep Gürler, Islem Rekik
2022	—	`conf`	Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets. PRIME@MICCAI Mehmet Yigit Balik, Arwa Rekik, Islem Rekik
2022	J	`jnl`	Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets. CoRR Mehmet Yigit Balik, Arwa Rekik, Islem Rekik
2022	—	`ed.`	Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MLMI@MICCAI Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui
2022	—	`conf`	Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning. PRIME@MICCAI Imen Jegham, Islem Rekik
2022	J	`jnl`	Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning. CoRR Imen Jegham, Islem Rekik
2022	J	`jnl`	Multigraph classification using learnable integration network with application to gender fingerprinting. Neural Networks Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz-Akdag, Islem Rekik
2022	J	`jnl`	Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification. CoRR Oben Özgür, Arwa Rekik, Islem Rekik
2022	J	`jnl`	Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification. CoRR Furkan Pala, Islem Rekik
2022	—	`conf`	Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification. PRIME@MICCAI Furkan Pala, Islem Rekik
2022	J	`jnl`	Predicting Shape Development: a Riemannian Method. CoRR Doga Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik
2022	—	`ed.`	Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas
2022	—	`conf`	Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. PRIME@MICCAI Selim Yürekli, Mehmet Arif Demirtas, Islem Rekik
2022	J	`jnl`	Quantifying the reproducibility of graph neural networks using multigraph data representation. Neural Networks Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gürler, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2022	Misc	`conf`	Training Hacks and a Frugal Man's Net with Application to Glioblastoma Segmentation. ATSIP Jawher Ben Abdallah, Linda Marrakchi-Kacem, Islem Rekik
2022	J	`jnl`	Transformers in Medical Image Analysis: A Review. CoRR Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen
2021	J	`jnl`	A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint. CoRR Seymanur Akti, Dogay Kamar, Özgür Anil Özlü, Ihsan Soydemir, Muhammet Akcan, Abdullah Kul, Islem Rekik
2021	—	`conf`	A Federated Multigraph Integration Approach for Connectional Brain Template Learning. ML-CDS@MICCAI Hizir Can Bayram, Islem Rekik
2021	—	`conf`	A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. Medical Image Anal. Ahmed Nebli, Islem Rekik
2021	—	`conf`	Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation. SSD Nesrine Bnouni, Hadil Ben Amor, Islem Rekik, Mohamed Salah Rhim, Basel Solaiman, Najoua Essoukri Ben Amara
2021	J	`jnl`	Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity. CoRR Megi Isallari, Islem Rekik
2021	J	`jnl`	Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network. CoRR Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2021	J	`jnl`	Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity. Medical Image Anal. Megi Isallari, Islem Rekik
2021	J	`jnl`	Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph. Medical Image Anal. Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2021	J	`jnl`	Brain multigraph prediction using topology-aware adversarial graph neural network. Medical Image Anal. Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2021	—	`ed.`	Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu
2021	—	`conf`	FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates. PRIME@MICCAI Guris Özen, Ahmed Nebli, Islem Rekik
2021	J	`jnl`	Graph Neural Networks in Network Neuroscience. CoRR Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2021	J	`jnl`	Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. CoRR Basar Demir, Alaa Bessadok, Islem Rekik
2021	—	`conf`	Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. DART/FAIR@MICCAI Basar Demir, Alaa Bessadok, Islem Rekik
2021	—	`conf`	Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. PRIME@MICCAI Mohammed Amine Gharsallaoui, Furkan Tornaci, Islem Rekik
2021	J	`jnl`	MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. Medical Image Anal. Mustafa Burak Gurbuz, Islem Rekik
2021	J	`jnl`	MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations. CoRR Islem Rekik, Mustafa Burak Gurbuz
2021	J	`jnl`	MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. NeuroImage Gaoxiang Chen, Jintao Ru, Yilin Zhou, Islem Rekik, Zhifang Pan, Xiaoming Liu, Yezhi Lin, Beichen Lu, Jialin Shi
2021	—	`ed.`	Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings MLMI@MICCAI Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
2021	J	`jnl`	Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
2021	—	`conf`	Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. IPMI Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik
2021	J	`jnl`	Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. CoRR Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik
2021	—	`conf`	One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. PRIME@MICCAI Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
2021	J	`jnl`	One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. CoRR Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
2021	J	`jnl`	Predicting cognitive scores with graph neural networks through sample selection learning. CoRR Martin Hanik, Mehmet Arif Demirtas, Mohammed Amine Gharsallaoui, Islem Rekik
2021	—	`ed.`	Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia A. Schnabel
2021	J	`jnl`	Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. CoRR Mohammed Amine Gharsallaoui, Islem Rekik
2021	—	`conf`	Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. DART/FAIR@MICCAI Alpay Tekin, Ahmed Nebli, Islem Rekik
2021	J	`jnl`	Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. CoRR Alpay Tekin, Ahmed Nebli, Islem Rekik
2021	—	`conf`	Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. MICCAI (7) Oytun Demirbilek, Islem Rekik
2021	J	`jnl`	Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. CoRR Oytun Demirbilek, Islem Rekik
2021	—	`conf`	StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. MLMI@MICCAI Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
2021	J	`jnl`	StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. CoRR Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
2021	—	`conf`	Template-Based Inter-modality Super-Resolution of Brain Connectivity. PRIME@MICCAI Furkan Pala, Islem Mhiri, Islem Rekik
2020	—	`conf`	A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang
2020	J	`jnl`	A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma
2020	J	`jnl`	Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping. CoRR Ahmed Nebli, Islem Rekik
2020	—	`conf`	Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. PRIME@MICCAI Ahmed Nebli, Islem Rekik
2020	J	`jnl`	Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning. Medical Image Anal. Islem Mhiri, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Islem Rekik
2020	—	`conf`	Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. UNSURE/GRAIL@MICCAI Ugur Demir, Mohammed Amine Gharsallaoui, Islem Rekik
2020	—	`conf`	Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI. PRIME@MICCAI Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
2020	J	`jnl`	Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint. CoRR Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik
2020	—	`conf`	Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. PRIME@MICCAI Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik
2020	—	`conf`	Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. MICCAI (7) Mustafa Burak Gurbuz, Islem Rekik
2020	J	`jnl`	Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. CoRR Mustafa Burak Gurbuz, Islem Rekik
2020	J	`jnl`	Deep Hypergraph U-Net for Brain Graph Embedding and Classification. CoRR Mert Lostar, Islem Rekik
2020	B	`conf`	Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network. ICIP Mohammad Moussa Madine, Islem Rekik, Naoufel Werghi
2020	J	`jnl`	Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Anal. Salma Dhifallah, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer. CoRR Zeynep Gürler, Ahmed Nebli, Islem Rekik
2020	—	`conf`	Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. PRIME@MICCAI Zeynep Gürler, Ahmed Nebli, Islem Rekik
2020	—	`conf`	GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. MLMI@MICCAI Megi Isallari, Islem Rekik
2020	J	`jnl`	GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. CoRR Megi Isallari, Islem Rekik
2020	J	`jnl`	Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. Pattern Recognit. Nicolas Georges, Islem Mhiri, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. Medical Image Anal. Islem Mhiri, Islem Rekik
2020	J	`jnl`	Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks. CoRR Ismail Bilgen, Goktug Guvercin, Islem Rekik
2020	J	`jnl`	Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling. CoRR Mustafa Saglam, Islem Rekik
2020	J	`jnl`	Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification. CoRR Alin Banka, Inis Buzi, Islem Rekik
2020	—	`conf`	Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling. UNSURE/GRAIL@MICCAI Mustafa Saglam, Islem Rekik
2020	—	`conf`	Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification. PRIME@MICCAI Alin Banka, Inis Buzi, Islem Rekik
2020	J	`jnl`	Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
2020	—	`ed.`	Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández
2020	J	`jnl`	RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. NeuroImage Gaoxiang Chen, Qun Li, Fuqian Shi, Islem Rekik, Zhifang Pan
2020	—	`conf`	Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. PRIME@MICCAI Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik
2020	J	`jnl`	Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. CoRR Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik
2020	—	`ed.`	Shape in Medical Imaging - International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings ShapeMI@MICCAI Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik
2020	—	`conf`	Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation. MICCAI (7) Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
2020	J	`jnl`	Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation. CoRR Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
2020	—	`conf`	Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. MICCAI (7) Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2020	J	`jnl`	Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. CoRR Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2019	—	`conf`	7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis. PRIME@MICCAI Mayssa Soussia, Islem Rekik
2019	—	`conf`	Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks. CNI@MICCAI Alin Banka, Islem Rekik
2019	J	`jnl`	Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen
2019	J	`jnl`	Computational neuroanatomy of baby brains: A review. NeuroImage Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen
2019	—	`ed.`	Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings CNI@MICCAI Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung
2019	J	`jnl`	Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging. IEEE Access Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
2019	J	`jnl`	Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States. CNI@MICCAI Oumaima Ben Khelifa, Islem Rekik
2019	—	`conf`	Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph. PRIME@MICCAI Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2019	J	`jnl`	Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis. CoRR Can Gafuroglu, Islem Rekik
2019	J	`jnl`	Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis. Brain Connect. Anna Lisowska, Islem Rekik
2019	—	`conf`	Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation. MICCAI (2) Baha Eddine Ezzine, Islem Rekik
2019	—	`conf`	Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods. PRIME@MICCAI Kübra Cengiz, Islem Rekik
2019	—	`ed.`	Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park
2019	—	`conf`	Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. PRIME@MICCAI Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2019	—	`conf`	Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph. MICCAI (4) Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2019	J	`jnl`	Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complex. Feng Zhao, Islem Rekik, Seong-Whan Lee, Jing Liu, Junying Zhang, Dinggang Shen
2018	—	`conf`	Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation. ICAART (2) Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik
2018	—	`ed.`	Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings CNI@MICCAI Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent C. Munsell
2018	J	`jnl`	Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes. IEEE Access Rory Raeper, Anna Lisowska, Islem Rekik
2018	—	`conf`	Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States. CNI@MICCAI Nicolas Georges, Islem Rekik
2018	—	`conf`	Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? MICCAI (3) Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation. MLMI@MICCAI Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
2018	—	`conf`	Dynamic Multiscale Tree Learning using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. VISIGRAPP (4: VISAPP) Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik
2018	—	`conf`	Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. ISBI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder. CNI@MICCAI Alaa Bessadok, Islem Rekik
2018	—	`conf`	Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes. MICCAI (1) Rory Raeper, Anna Lisowska, Islem Rekik
2018	—	`conf`	Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. MICCAI (3) Can Gafuroglu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2018	—	`conf`	Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen
2018	—	`conf`	Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning. PRIME@MICCAI Minghui Zhu, Islem Rekik
2018	—	`ed.`	PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings PRIME@MICCAI Islem Rekik, Gözde B. Ünal, Ehsan Adeli, Sang Hyun Park
2018	—	`conf`	Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes. PRIME@MICCAI Anna Lisowska, Islem Rekik
2018	—	`conf`	Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. MICCAI (3) Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Dinggang Shen, Gang Li
2018	Misc	`conf`	Semi-automatic lymph node segmentation and classification using cervical cancer MR imaging. ATSIP Nesrine Bnouni, Olfa Mechi, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
2018	J	`jnl`	Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics Luping Zhou, Islem Rekik, Chenggang Yan, Guorong Wu
2018	J	`jnl`	Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation. Neurocomputing Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik
2018	J	`jnl`	Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis. Frontiers Neuroinformatics Mayssa Soussia, Islem Rekik
2018	—	`conf`	XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik
2017	—	`conf`	Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks. GRAIL/MFCA/MICGen@MICCAI Carrie Morris, Islem Rekik
2017	J	`jnl`	Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. CoRR Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik
2017	J	`jnl`	Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]. Medical Image Anal. Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2017	—	`conf`	Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. IPMI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2017	—	`conf`	High-order Connectomic Manifold Learning for Autistic Brain State Identification. CNI@MICCAI Mayssa Soussia, Islem Rekik
2017	—	`conf`	Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. MICCAI (1) Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen
2017	J	`jnl`	Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
2017	—	`conf`	Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2017	J	`jnl`	Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children. Pattern Recognit. Hongwei Wen, Yue Liu, Islem Rekik, Shengpei Wang, Zhiqiang Chen, Jishui Zhang, Yue Zhang, Yun Peng, Huiguang He
2017	—	`conf`	Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis. CNI@MICCAI Anna Lisowska, Islem Rekik
2016	—	`conf`	7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen
2016	—	`conf`	A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
2016	—	`conf`	Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. LABELS/DLMIA@MICCAI Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen
2016	Misc	`conf`	Deep random forest-based learning transfer to SVM for brain tumor segmentation. ATSIP Samya Amiri, Islem Rekik, Mohamed Ali Mahjoub
2016	J	`jnl`	Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2016	—	`conf`	Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. MICCAI (2) Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen
2016	J	`jnl`	Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. Medical Image Anal. Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen
2015	—	`conf`	Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. IPMI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. MICCAI (2) Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2013	J	`jnl`	Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Comput. Math. Methods Medicine Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw
2013	J	`jnl`	Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. Comput. Vis. Image Underst. Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, Nicholas Ayache