Nima Hatami

34 papers B 1C 2Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer.
ISBI
Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2025 — conf
Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data.
MICCAI (15)
Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2024 J jnl
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
2023 — conf
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data.
ISBI
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
2023 J jnl
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data.
CoRR
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
2023 J jnl
DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis.
CoRR
Nima Hatami
2022 — conf
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
EMBC
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
2022 J jnl
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
CoRR
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
2021 J jnl
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis.
CoRR
Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot
2019 J jnl
Bag of recurrence patterns representation for time-series classification.
Pattern Anal. Appl.
Nima Hatami, Yann Gavet, Johan Debayle
2018 J jnl
Bag of Recurrence Patterns Representation for Time-Series Classification.
CoRR
Nima Hatami, Yann Gavet, Johan Debayle
2018 — conf
Magnetic Resonance Spectroscopy Quantification Using Deep Learning.
MICCAI (1)
Nima Hatami, Michaël Sdika, Hélène Ratiney
2018 J jnl
Magnetic Resonance Spectroscopy Quantification using Deep Learning.
CoRR
Nima Hatami, Michaël Sdika, Hélène Ratiney
2017 J jnl
Classification of Time-Series Images Using Deep Convolutional Neural Networks.
CoRR
Nima Hatami, Yann Gavet, Johan Debayle
2017 C conf
Classification of time-series images using deep convolutional neural networks.
ICMV
Nima Hatami, Yann Gavet, Johan Debayle
2016 J jnl
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns.
CoRR
Nima Hatami, Michael H. Goldbaum
2013 J jnl
Classifiers With a Reject Option for Early Time-Series Classification.
CoRR
Nima Hatami, Camelia Chira
2013 — conf
Classifiers with a reject option for early time-series classification.
CIEL
Nima Hatami, Camelia Chira
2013 J jnl
Diverse accurate feature selection for microarray cancer diagnosis.
Intell. Data Anal.
Nima Hatami, Camelia Chira
2013 J jnl
ECOC-Based Training of Neural Networks for Face Recognition.
CoRR
Nima Hatami, Reza Ebrahimpour, Reza Ghaderi
2013 J jnl
Special issue on "Innovative knowledge based techniques in pattern recognition".
Pattern Recognit. Lett.
Manuel Graña, Michal Wozniak, Nima Hatami
2012 J jnl
A Route Confidence Evaluation Method for Reliable Hierarchical Text Categorization
CoRR
Nima Hatami, Camelia Chira, Giuliano Armano
2012 — conf
Ensemble of Binary Learners for Reliable Text Categorization with a Reject Option.
HAIS (1)
Giuliano Armano, Camelia Chira, Nima Hatami
2012 — conf
Error-Correcting Output Codes for Multi-Label Text Categorization.
IIR
Giuliano Armano, Camelia Chira, Nima Hatami
2012 C conf
Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction.
IDEAL
Camelia Chira, Nima Hatami
2012 — —
Some proposals for combining ensemble classifiers.
Nima Hatami
2012 J jnl
Thinned-ECOC ensemble based on sequential code shrinking.
Expert Syst. Appl.
Nima Hatami
2011 — conf
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification.
PRIB
Giuliano Armano, Camelia Chira, Nima Hatami
2011 — ch.
An Improved Mixture of Experts Model: Divide and Conquer Using Random Prototypes.
Ensembles in Machine Learning Applications
Giuliano Armano, Nima Hatami
2011 — ch.
Run-Time Performance Analysis of the Mixture of Experts Model.
Computer Recognition Systems 4
Giuliano Armano, Nima Hatami
2010 — conf
Mixture of Random Prototype-Based Local Experts.
HAIS (1)
Giuliano Armano, Nima Hatami
2010 B conf
Random Prototype-based Oracle for Selection-fusion Ensembles.
ICPR
Giuliano Armano, Nima Hatami
2008 — conf
Error Correcting Output Codes Using Genetic Algorithm-Based Decoding.
NCM (1)
Nima Hatami, Saeed Seyedtabaii
2008 — conf
Thinned ECOC Decomposition for Gene Expression Based Cancer Classification.
ISDA (1)
Nima Hatami