# Aldo Marzullo

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/aldo-marzullo/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,061 |
| Field | Multiple Sclerosis Research Studies |
| h-index | 14 |
| i10-index | 19 |
| Last Known Institution | Politecnico di Milano |
| OpenAlex ID | https://openalex.org/A5058231062 |
| ORCID iD | 0000-0002-9651-7156 |
| Works | 59 |

## Researcher papers

- [Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network](https://scholariq.org/papers/multi-sensor-guided-hand-gesture-recognition-for-a-teleoperated-robot-using-a/)
- [Artificial intelligence for brain diseases: A systematic review](https://scholariq.org/papers/artificial-intelligence-for-brain-diseases-a-systematic-review/)
- [Biomedical Data Augmentation Using Generative Adversarial Neural Networks](https://scholariq.org/papers/biomedical-data-augmentation-using-generative-adversarial-neural-networks/)
- [Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis](https://scholariq.org/papers/data-augmentation-using-generative-adversarial-neural-networks-on-brain/)
- [Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks](https://scholariq.org/papers/classification-of-multiple-sclerosis-clinical-profiles-via-graph-convolutional/)
- [An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics](https://scholariq.org/papers/an-open-source-covid-19-ct-dataset-with-automatic-lung-tissue-classification-for/)
- [Towards realistic laparoscopic image generation using image-domain translation](https://scholariq.org/papers/towards-realistic-laparoscopic-image-generation-using-image-domain-translation/)
- [FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery](https://scholariq.org/papers/frsr-framework-for-real-time-scene-reconstruction-in-robot-assisted-minimally/)
- [Optic Disc Detection Using Fine Tuned Convolutional Neural Networks](https://scholariq.org/papers/optic-disc-detection-using-fine-tuned-convolutional-neural-networks/)
- [Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients](https://scholariq.org/papers/radiomics-based-machine-learning-model-for-predicting-overall-and-progression/)
- [Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation](https://scholariq.org/papers/robot-assisted-ex-vivo-neobladder-reconstruction-preliminary-results-of-surgical/)

## Researcher topics

- [Multiple Sclerosis Research Studies](https://scholariq.org/topics/multiple-sclerosis-research-studies/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Researcher university

- [Politecnico di Milano](https://scholariq.org/institutions/politecnico-di-milano/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.