Results 151 to 160 of about 4,842 (263)

Classification of Whole-Slide Pathology Images Based on State Space Models and Graph Neural Networks

Whole-slide images (WSIs) pose significant analytical challenges due to their large data scale and complexity. Multiple instance learning (MIL) has emerged as an effective solution for WSI classification, but existing frameworks often lack flexibility in
Mingxin Liu, Chengfei Cai, Jun Li, Jun Xu, Zhengcan Wu, Feng Ding, Yiping Jiao   +6 more
core   +1 more source

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency‐Based Approach Can Do Better

British Journal of Management, EarlyView.
Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
wiley   +1 more source

PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis

Mamba, based on state space model (SSM) with its linear complexity and great success in classification provide its superiority in 3D point cloud analysis.
Chen, Jia-wei, Gao, Yong-bin, Xiong, Yu-jie   +2 more
core  

Relationships between human tibia diaphysis shape and experimental injury outcomes

Journal of Forensic Sciences, EarlyView.
Abstract Interpretation is central to skeletal trauma analysis; however, the influence of intrinsic skeletal variation, such as long bone shape, on injury is not fully understood. While previous studies have emphasized extrinsic variables such as loading rate, direction, and number of impacts, this study investigates whether diaphyseal shape variation ...
Christopher M. Goden, Amanda M. Agnew, Angela L. Harden   +2 more
wiley   +1 more source

Pre‐clinical evaluation of a laser system with emission control based on stone vs soft tissue recognition

BJU International, EarlyView.
Objective To evaluate the feasibility and performance of the StoneSense™ module (SSM; IPG Medical, Marlborough, MA, USA), a prototype real‐time target recognition unit integrated into a IPG Thulium Fiber Laser (TFL). Materials and Methods The SSM analyses the spectral signature of back reflected light‐emitting diode (LED) light from the target ...
Olivier Traxer, Federico Zorzi, IIya V. Yaroslavsky, Anastasia Kovalenko, Viktoriya Andreeva, James Childs, Alexey G. Martov, Gregory Altshuler   +7 more
wiley   +1 more source

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

Existing Transformer-based models for point cloud analysis suffer from quadratic complexity, leading to compromised point cloud resolution and information loss.
Li, Xianzhi, Wang, Zhaoxuan, Han, Xu, Tang, Yuan   +3 more
core  

Unaccompanied Refugee Adolescents' Experiences With Professional Support During Their Transition to Adulthood

Child &Family Social Work, EarlyView.
ABSTRACT The transition to adulthood is a complex period for unaccompanied refugee adolescents, who must navigate this phase without the physical presence of their parentals while adjusting to life in a new country. This longitudinal qualitative study explores how unaccompanied refugee adolescents in the Netherlands experience professional support ...
L. N. Hacquebord, A. E. Zijlstra, W. J. Post, M. Smit   +3 more
wiley   +1 more source

MaskViM: Domain Generalized Semantic Segmentation with State Space Models

Domain Generalized Semantic Segmentation (DGSS) aims to utilize segmentation model training on known source domains to make predictions on unknown target domains. Currently, there are two network architectures: one based on Convolutional Neural Networks (
Li, Jiahao, Xie, Yuan, Lu, Yang, Qu, Yanyun   +3 more
core   +1 more source

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Digital Dermatology

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
SUMMARY Digital transformation is fundamentally reshaping dermatology, creating new opportunities in diagnostics, therapy, and healthcare organization. Large datasets combined with Artificial Intelligence (AI) enable more precise classification and prognosis, particularly through the analysis of clinical and dermoscopic imaging.
Lea Henkel, Avend Bamarni, Stephan Alexander Braun, Valentina Busik, Holger Andreas Haenssle, Stephan Rietz, Paul Schmidle, Sandra Schuh, Anna‐Theresa Seitz, Sebastian Sitaru, Stephan Traidl, Max Tischler, Felix von Krogh, Julia Welzel, Julia Winkler, Anastasia Sophie Vollmer, Katharina Susanne Kommoss, Alexander Zink   +17 more
wiley   +1 more source