Nima Hatami, Ph.D.
Postdoc FellowCREATIS Medical Imaging LabINSA-Lyon and University of Lyon, Franceemail: firstname.lastname@gmail.comPublications (google scholar)
Research interests: Machine LearningPattern RecognitionMedical ImagingTime-series ClassificationDeep Neural Networks
Short Bio. I am a Postdoc Fellow in the CREATIS Medical Imaging Lab, INSA-Lyon, France. Before this, I spent 2 years at University of Warwick, UK, 1.5 years in Ecole Nationale Supérieure des Mines, France, 2 years as a Lecturer in the Dep. of Electrical and Computer Eng. at the Zanjan Azad University, Iran and also 2 years as a Postdoc Fellow at University of California at San Diego, USA. I got my PhD from the DIEE at University of Cagliari, Italy under supervision of Giuliano Armano. During my PhD I also had the privilege of working with Lucy Kuncheva (Bangor University, UK) and Camelia Chira (TUC, Romania).
New Publications!
- A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data, ISBI 2023 pdf
- CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients, EMBC 2022 pdf
- Patient Rank-based Curriculum Learning for Predicting Functional Outcome in Stroke after Thrombectomy, ESOC 2022 pdf
- Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis, 2021 pdf
- Magnetic Resonance Spectroscopy Quantification using Deep Learning, MICCAI 2018, pdf, data
- Towards Handling Artefacts in Convolutional Neural Networks-based MRS Quantification, MRS workshop 2018, pdf
- Bag of recurrence patterns representation for time-series classification, Pattern Analysis & Applications Journal, 2018. pdf
- Classification of Time-Series Images Using Deep Convolutional Neural Networks, accepted for ICMV17. pdf