@article{allaoui_ha-u3net_2025,

title = {HA-U3Net: A modality-agnostic framework for 3D medical image segmentation using nested V-Net structure and hybrid attention},

author = {M. L. Allaoui and M. S. Allili and A. Belaid},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011370963&doi=10.1016%2Fj.knosys.2025.114127&partnerID=40&md5=d98a109f015445adb3001bb4017bf953},

doi = {10.1016/j.knosys.2025.114127},

issn = {09507051 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Knowledge-Based Systems},

volume = {327},

abstract = {3D medical image segmentation is essential for disease diagnosis and treatment planning across a wide range of imaging modalities (e.g., MRI, CT, ultrasound, and PET). However, modality-specific challenges, such as noise, artifacts, low contrast, and anatomical variability, along with the presence of small lesions and fuzzy boundaries, hinder the generalization capability of existing segmentation models. In this work, we present HA-U3Net, a novel 3D U-Net-based model designed to address these limitations through a stepwise approach. First, we introduce a deeply nested U3-shaped structure built upon 3D V-Net modules, enabling multi-scale hierarchical representation learning. Second, we integrate a hybrid attention mechanism combining spatial and channel-wise attention to enhance salient features extraction and the delineation of small or poorly defined structures. Third, we demonstrate the cross-modality generalization capabilities of HA-U3Net through extensive evaluations on several datasets, where our model consistently outperforms baseline methods. Finally, we propose a lightweight variant, U3Mamba, reducing computational complexity while maintaining high performance. © 2025 Elsevier B.V.},

keywords = {3D medical image, 3D medical image segmentation, Diagnosis, Diagnosis planning, Disease diagnosis, Disease treatment, Generalization capability, Image segmentation, Magnetic resonance imaging, Medical image processing, Medical image segmentation, Nested volume-structure, Net structures, Self hybrid attention, Structures (built objects)},

pubstate = {published},

tppubtype = {article}

}

@article{bouchard_manipulating_2012,

title = {Manipulating subjective realism and its impact on presence: Preliminary results on feasibility and neuroanatomical correlates},

author = {S. Bouchard and S. Dumoulin and J. Talbot and A. -A. Ledoux and J. Phillips and J. Monthuy-Blanc and G. Labonté-Chartrand and G. Robillard and M. Cantamesse and P. Renaud},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866389210&doi=10.1016%2fj.intcom.2012.04.011&partnerID=40&md5=f5d975e9f3ae33c5f300faaaee1c5ad0},

doi = {10.1016/j.intcom.2012.04.011},

issn = {09535438},

year  = {2012},

date = {2012-01-01},

journal = {Interacting with Computers},

volume = {24},

number = {4},

pages = {227–236},

publisher = {Oxford University Press},

abstract = {The feeling of presence has been shown to be an important concept in several clinical applications of virtual reality. Among the factors influencing presence, realism factors have been examined extensively from the angle of objective realism. Objective realism has been manipulated by altering numerous technological characteristics such as pictorial quality, texture and shading, or by adding more sensory information (i.e.; smell, touch). Much less studied is the subjective (or perceived) realism, the focus of the two pilot studies reported in this article. In Study 1, subjective realism was manipulated in order to assess the impact on the feeling of presence. Method: Presence was measured in 31 adults after two immersions in virtual reality. Participants were immersed in a neutral/irrelevant virtual environment and subsequently subjected to the experimental manipulation. Participants in the experimental condition were falsely led to believe that they were immersed live in real time in a "real" room with a "real" mouse in a cage. In the control condition, participants believed they were immersed in a replica of the nearby room. All participants were actually immersed in the exact same virtual environment. Results: A manipulation check revealed that 80% of the participants believed in the deception. A 2 Times by 2 Conditions repeated measure ANOVA revealed that leading people to believe they were seeing a real environment digitized live in virtual reality increased their feeling of presence compared to the control condition. In Study 2, the same experimental design was used but with simultaneous functional magnetic resonance imaging (fMRI) in order to assess brain areas potentially related to the feeling of presence. fMRI data from five participants were subjected to a within subject fixed effect analysis to verify differences between the experimental immersion (higher presence) and the control immersion (lower presence). Results revealed a statistically significant difference in left and right parahippocampus areas. Conclusion: Results are discussed according to layers of presence and consciousness and the meaning given to experiences occurring in virtual reality. Some suggestions are formulated to target core presence and extended presence. © 2012 British Informatics Society Limited. All rights reserved.},

note = {Publisher: Oxford University Press},

keywords = {Experimental conditions, Feeling of presences, fMRI, functional magnetic resonance imaging, Functional neuroimaging, Magnetic resonance imaging, Parahippocampus, Statistically significant difference, Subjective realisms, Technological characteristics, Textures, virtual reality},

pubstate = {published},

tppubtype = {article}

}