Zobrazeno 1 - 10
of 2 772
pro vyhledávání: '"P, Lasser"'
Autor:
LaMaster, John, Das, Dhritiman, Kofler, Florian, Crane, Jason, Li, Yan, Lasser, Tobias, Menze, Bjoern H
Magnetic resonance spectroscopic imaging is a widely available imaging modality that can non-invasively provide a metabolic profile of the tissue of interest, yet is challenging to integrate clinically. One major reason is the expensive, expert data
Externí odkaz:
http://arxiv.org/abs/2409.06609
When computing quantum-mechanical observables, the ``curse of dimensionality'' limits the naive approach that uses the quantum-mechanical wavefunction. The semiclassical Herman--Kluk propagator mitigates this curse by employing a grid-free ansatz to
Externí odkaz:
http://arxiv.org/abs/2408.00130
Autor:
Tang, Peng, Lasser, Tobias
Existing multi-modal approaches primarily focus on enhancing multi-label skin lesion classification performance through advanced fusion modules, often neglecting the associated rise in parameters. In clinical settings, both clinical and dermoscopy im
Externí odkaz:
http://arxiv.org/abs/2407.09999
Autor:
Aroyehun, Segun Taofeek, Simchon, Almog, Carrella, Fabio, Lasser, Jana, Lewandowsky, Stephan, Garcia, David
Pursuit of honest and truthful decision-making is crucial for governance and accountability in democracies. However, people sometimes take different perspectives of what it means to be honest and how to pursue truthfulness. Here we explore a continuu
Externí odkaz:
http://arxiv.org/abs/2405.07323
This paper studies the numerical approximation of evolution equations by nonlinear parametrizations $u(t)=\Phi(q(t))$ with time-dependent parameters $q(t)$, which are to be determined in the computation. The motivation comes from approximations in qu
Externí odkaz:
http://arxiv.org/abs/2403.19234
Autor:
Tang, Peng, Lasser, Tobias
In this study, we introduce a multi-modal approach that efficiently integrates multi-scale clinical and dermoscopy features within a single network, thereby substantially reducing model parameters. The proposed method includes three novel fusion sche
Externí odkaz:
http://arxiv.org/abs/2403.19203
Autor:
Tang, Peng, Yan, Xintong, Nan, Yang, Hu, Xiaobin, Krammer, Bjoern H Menzee. Sebastian, Lasser, Tobias
Most convolutional neural network (CNN) based methods for skin cancer classification obtain their results using only dermatological images. Although good classification results have been shown, more accurate results can be achieved by considering the
Externí odkaz:
http://arxiv.org/abs/2312.04189
In the present paper we consider the semiclassical magnetic Schr\"odinger equation, which describes the dynamics of particles under the influence of a magnetic field. The solution of the time-dependent Schr\"odinger equation is approximated by a sing
Externí odkaz:
http://arxiv.org/abs/2310.16734
Worldwide, storage demands and costs are increasing. As a consequence of fault tolerance, storage device heterogenity, and data center specific constraints, optimal storage capacity utilization cannot be achieved with the integrated balancing algorit
Externí odkaz:
http://arxiv.org/abs/2310.15805
Autor:
Tang, Peng, Xu, Zhiqiang, Wei, Pengfei, Hu, Xiaobin, Zhao, Peilin, Cao, Xin, Zhou, Chunlai, Lasser, Tobias
We propose an efficient deep learning method for single image defocus deblurring (SIDD) by further exploring inverse kernel properties. Although the current inverse kernel method, i.e., kernel-sharing parallel atrous convolution (KPAC), can address s
Externí odkaz:
http://arxiv.org/abs/2307.16242