Federico Bolelli
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View article: 118P Exploring explainable treatments hypotheses with the Oncodash decision support system
118P Exploring explainable treatments hypotheses with the Oncodash decision support system Open
View article: 15P Finding personalized drugs from the integration of clinical and molecular data into a semantic knowledge graph
15P Finding personalized drugs from the integration of clinical and molecular data into a semantic knowledge graph Open
View article: Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors Open
Foundation models serve as the backbone for numerous specialized models developed through fine-tuning. However, when the underlying pretrained model is updated or retrained (e.g., on larger and more curated datasets), the fine-tuned model …
View article: Accurate 3D Medical Image Segmentation with Mambas
Accurate 3D Medical Image Segmentation with Mambas Open
CNNs and Transformer-based architectures are recently dominating the field of 3D medical segmentation. While CNNs face limitations in the local receptive field, Transformers require significant memory and data, making them less suitable fo…
View article: State-of-the-art review and benchmarking of barcode localization methods
State-of-the-art review and benchmarking of barcode localization methods Open
View article: Taming Mambas for 3D Medical Image Segmentation
Taming Mambas for 3D Medical Image Segmentation Open
Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its distinctive strengths and limitations. CNNs are con…
View article: Machine Learning-Based Prediction of Emergency Department Prolonged Length of Stay: A Case Study from Italy
Machine Learning-Based Prediction of Emergency Department Prolonged Length of Stay: A Case Study from Italy Open
Overcrowding in Emergency Departments (EDs) is a pressing concern driven by high patient demand and limited resources. Prolonged Length of Stay (pLOS), a major contributor to this congestion, may lead to adverse outcomes, including patient…
View article: <i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision
<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision Open
Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. …
View article: Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge
Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge Open
In recent years, several algorithms have been developed for the segmentation of the Inferior Alveolar Canal (IAC) in Cone-Beam Computed Tomography (CBCT) scans. However, the availability of public datasets in this domain is limited, result…
View article: Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Efficient MedSAMs: Segment Anything in Medical Images on Laptop Open
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical…
View article: Identifying Impurities in Liquids of Pharmaceutical Vials
Identifying Impurities in Liquids of Pharmaceutical Vials Open
View article: BarBeR: A Barcode Benchmarking Repository
BarBeR: A Barcode Benchmarking Repository Open
View article: Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs
Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs Open
View article: Investigating the ABCDE Rule in Convolutional Neural Networks
Investigating the ABCDE Rule in Convolutional Neural Networks Open
View article: Taming Mambas for Voxel Level 3D Medical Image Segmentation
Taming Mambas for Voxel Level 3D Medical Image Segmentation Open
Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with their distinctive strengths and limitations. CNNs are c…
View article: ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision Open
The failures of Deep Networks can sometimes be ascribed to biases in the data or algorithmic choices. Existing debiasing approaches exploit prior knowledge to avoid unintended solutions; we acknowledge that, in real-world settings, it coul…
View article: Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission
Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission Open
Length of Stay (LOS) and Prolonged Length of Stay (pLOS) are critical indicators of hospital efficiency. Reducing pLOS, particularly in public healthcare settings, is crucial for optimizing bed allocation, resource utilization, and overall…
View article: A State-of-the-Art Review with Code about Connected Components Labeling on GPUs
A State-of-the-Art Review with Code about Connected Components Labeling on GPUs Open
This article is about Connected Components Labeling (CCL) algorithms developed for GPU accelerators. The task itself is employed in many modern image-processing pipelines and represents a fundamental step in different scenarios, whenever o…
View article: High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer
High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer Open
Background: The growing amount of biomedical knowledge about cancer in combination with genome-scale patient profiling data offers unprecedented opportunities for personalized oncology. However, the large amounts of knowledge and data requ…
View article: Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal
Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal Open
Segmentation of the Inferior Alveolar Canal (IAC) is a critical aspect of dentistry and maxillofacial imaging, garnering considerable attention in recent research endeavors. Deep learning techniques have shown promising results in this dom…
View article: A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification Open
The usage of Multi Instance Learning (MIL) for classifying Whole Slide Images (WSIs) has recently increased. Due to their gigapixel size, the pixel-level annotation of such data is extremely expensive and time-consuming, practically unfeas…
View article: Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience
Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience Open
View article: Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm
Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm Open
Introduction: The need of accurate three-dimensional data of anatomical structures is increasing in the surgical field. The development of convolutional neural networks (CNNs) has been helping to fill this gap by trying to provide efficien…
View article: Annotating the Inferior Alveolar Canal: The Ultimate Tool
Annotating the Inferior Alveolar Canal: The Ultimate Tool Open
View article: MedShapeNetCore
MedShapeNetCore Open
MedShapeNetCore is a subset of MedShapeNet, containing more lightweight 3D anatomical shapes in the format of mask, point cloud and mesh. The shape data are stored as numpy arrays in nested dictonaries in npz format (Zenodo). This API prov…
View article: DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs Open
View article: Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach
Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach Open
View article: Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach Open
View article: Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images
Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images Open
Background and objectives Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic progn…
View article: Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation
Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation Open
Many recent works in dentistry and maxillofacial imagery focused on the Inferior Alveolar Nerve (IAN) canal detection. Unfortunately, the small extent of available 3D maxillofacial datasets has strongly limited the performance of deep lear…