Results 41 to 50 of about 326 (131)

What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF‐Based Approach

International Endodontic Journal, EarlyView.
ABSTRACT Aim Spatial localisation of the pulp chamber is critical for safe and effective dental treatments. This study aimed to assess the performances of DeepSDF models to predict the 3D pulp chamber space and cervical line of molars using only external crown surfaces.
Elias Walter, Sébastien Valette, Ariel Pokhojaev, Leander Benz, Lukas Konietzka, Peter Roesch, Katrin Heck, Rachel Sarig, Anderson Hara, Davide Mancino, Akhilanand Chaurasia, Falk Schwendicke, Raphael Richert   +12 more
wiley   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

International Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source

Risk Measure Duality Without Structure

Mathematical Finance, EarlyView.
ABSTRACT We study risk measures on vector spaces of random variables which a priori have little structure, such as spaces lacking law invariance or a lattice structure. Ensuring the existence of a tractable dual representation (one which does not contain non‐sigma‐additive measures) is one of the main problems in risk measure theory, and we address it ...
Vasily Melnikov
wiley   +1 more source

Risk, Utility and Sensitivity to Large Losses

Mathematical Finance, EarlyView.
ABSTRACT Risk and utility functionals are fundamental building blocks in economics and finance. In this paper we investigate under which conditions a risk or utility functional is sensitive to the accumulation of losses in the sense that any sufficiently large multiple of a position that exposes an agent to future losses has positive risk or negative ...
Martin Herdegen, Nazem Khan, Cosimo Munari   +2 more
wiley   +1 more source

LDS‐UNet: Lightweight Depthwise Separable U‐Net for Brain Tumor Segmentation

Applied AI Letters, Volume 8, Issue 1, February 2027.
A hybrid Lightweight Depthwise Separable U‐Net (LDS‐UNet) is proposed, using depthwise separable convolutions in the encoder‐decoder, and standard bottleneck convolutions, and 2.5D three‐slice input to recover inter‐slice context without 3D convolutions.
Nasrin Akter, Rafia Nasrin Muntaha, Puja Dutta, Md. Khaliluzzaman   +3 more
wiley   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

2D U‐Net Framework for Multiclass Automated Segmentation of Healthy Structures, Ischemic Stroke, and Glioblastoma in the Rat Brain

NMR in Biomedicine, Volume 39, Issue 12, December 2026.
A multitask 2D U‐Net framework enabling automated, accurate segmentation and quantification of rodent brain regions, stroke lesions, and tumors from MRI data. ABSTRACT Rodents are essential for preclinical brain disease research, including stroke, tumors, and neurodegenerative disorders.
Sara Ortega‐Espina, Sabela Fernández‐Rodicio, María Luz Alonso‐Alonso, Pelayo García‐Acevedo, Ana Sampedro‐Viana, Marcos Bazarra‐Barreiros, María Teresa Abengoza‐Bello, Antonio J. Mosqueira, Jacobo Porto‐Álvarez, Javier Martínez Fernández, Crhistian‐Mario Oblitas, José Castillo, Pablo Hervella, Ramón Iglesias‐Rey   +13 more
wiley   +1 more source

Drifting to the top? The effects of category erraticism on status mobility in the U.S. venture capital industry

Strategic Management Journal, Volume 47, Issue 13, Page 3333-3381, December 2026.
Abstract Research Summary We examine the effects of category erraticism, that is, having moved across socio‐cognitively distant industry categories over time, on status mobility. We argue that it is not the breadth of the categories that a firm spans or the overall distance among those categories, but whether its movement across categories forms a ...
Danyang Li, Michael Jensen
wiley   +1 more source

ConvNeXt‐FD: Fractal Dimension‐Regularized ConvNeXt for Robust Biomedical Image Segmentation

Expert Systems, Volume 43, Issue 12, December 2026.
ABSTRACT Biomedical image segmentation is a critical task in medical diagnosis and treatment planning, enabling precise delineation of anatomical structures and pathological regions. Despite significant advancements, challenges persist due to the inherent variability, noise and complex morphology present in diverse medical imaging modalities.
Joao Batista Florindo, Amanda Pontes de Oliveira Ornelas, Gwanggil Jeon   +2 more
wiley   +1 more source

Synthetic MRI from radiotherapy planning CT images for Head‐and‐Neck Cancer

Journal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Computed Tomography (CT) provides geometric accuracy and electron density information essential for radiotherapy planning; however, it offers limited soft‐tissue contrast. Magnetic Resonance Imaging (MRI) improves tumor visualization but introduces registration uncertainties when acquired separately from the radiotherapy planning CT
Prabhakar Ramachandran, Akshay C Dhargave, Catherine Jones, Dionee Liefman, Lachlan McDowell, Howard Liu   +5 more
wiley   +1 more source