89 citations · 187 across the 12 of their papers we have counts for
13 papers
CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection
Nima Hatami, Karim Faez, Saeed Sharifian +1
Multispectral object detection combines visible and thermal imagery to improve perception under challenging illumination and environmental conditions. However, differences in modal…
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data
Nima Hatami, Laura Mechtouff, David Rousseau +4
Patient outcome prediction is critical in management of ischemic stroke. In this paper, a novel machine learning model is proposed for stroke outcome prediction using multimodal Ma…
DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis
Nima Hatami
Computational pathology tasks have some unique characterises such as multi-gigapixel images, tedious and frequently uncertain annotations, and unavailability of large number of cas…
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients
Nima Hatami, Tae-Hee Cho, Laura Mechtouff +3
Clinical outcome prediction plays an important role in stroke patient management. From a machine learning point-of-view, one of the main challenges is dealing with heterogeneous da…
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
Nima Hatami, Mohsin Bilal, Nasir Rajpoot
The problem of recognizing various types of tissues present in multi-gigapixel histology images is an important fundamental pre-requisite for downstream analysis of the tumor micro…