Nima Hatami

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Venues

University of Cagliari, Italy (PHD)

Education History

University of Cagliari, Italy

PHD

Publications

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
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data. CoRR (2023)
Nima Hatami
DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis. CoRR (2023)
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. ISBI (2023)
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. EMBC (2022)
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. CoRR (2022)
Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. CoRR (2021)
Nima Hatami, Yann Gavet, Johan Debayle
Bag of recurrence patterns representation for time-series classification. Pattern Anal. Appl. 22 (3) (2019)
Nima Hatami, Yann Gavet, Johan Debayle
Bag of Recurrence Patterns Representation for Time-Series Classification. CoRR (2018)
Nima Hatami, Michaël Sdika, Hélène Ratiney
Magnetic Resonance Spectroscopy Quantification using Deep Learning. CoRR (2018)
Nima Hatami, Michaël Sdika, Hélène Ratiney
Magnetic Resonance Spectroscopy Quantification Using Deep Learning. MICCAI (1) (2018)
Nima Hatami, Yann Gavet, Johan Debayle
Classification of Time-Series Images Using Deep Convolutional Neural Networks. CoRR (2017)
Nima Hatami, Yann Gavet, Johan Debayle
Classification of time-series images using deep convolutional neural networks. ICMV (2017)
Nima Hatami, Michael H. Goldbaum
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns. CoRR (2016)
Manuel Graña, Michal Wozniak, Nima Hatami
Special issue on "Innovative knowledge based techniques in pattern recognition". Pattern Recognit. Lett. 34 (14) (2013)
Nima Hatami, Camelia Chira
Classifiers With a Reject Option for Early Time-Series Classification. CoRR (2013)
Nima Hatami, Reza Ebrahimpour, Reza Ghaderi
ECOC-Based Training of Neural Networks for Face Recognition. CoRR (2013)
Nima Hatami, Camelia Chira
Diverse accurate feature selection for microarray cancer diagnosis. Intell. Data Anal. 17 (4) (2013)
Nima Hatami, Camelia Chira
Classifiers with a reject option for early time-series classification. CIEL (2013)
Giuliano Armano, Camelia Chira, Nima Hatami
Error-Correcting Output Codes for Multi-Label Text Categorization. IIR (2012)
Giuliano Armano, Camelia Chira, Nima Hatami
Ensemble of Binary Learners for Reliable Text Categorization with a Reject Option. HAIS (1) (2012)
Nima Hatami
Thinned-ECOC ensemble based on sequential code shrinking. Expert Syst. Appl. 39 (1) (2012)
Nima Hatami, Camelia Chira, Giuliano Armano
A Route Confidence Evaluation Method for Reliable Hierarchical Text Categorization CoRR (2012)
Camelia Chira, Nima Hatami
Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction. IDEAL (2012)
Giuliano Armano, Camelia Chira, Nima Hatami
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification. PRIB (2011)
Giuliano Armano, Nima Hatami
Random Prototype-based Oracle for Selection-fusion Ensembles. ICPR (2010)
Giuliano Armano, Nima Hatami
Mixture of Random Prototype-Based Local Experts. HAIS (1) (2010)
Nima Hatami, Saeed Seyedtabaii
Error Correcting Output Codes Using Genetic Algorithm-Based Decoding. NCM (1) (2008)
Nima Hatami
Thinned ECOC Decomposition for Gene Expression Based Cancer Classification. ISDA (1) (2008)

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Publication Activity (10 Years)

Top Topics

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Nima Hatami