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07/13/2023
Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms
Density-functional theory (DFT) has revolutionized computer simulations ...
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05/30/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
Gliomas are the most common type of primary brain tumors. Although gliom...
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05/26/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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04/05/2023
Efficient Quantum Algorithms for Quantum Optimal Control
In this paper, we present efficient quantum algorithms that are exponent...
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03/19/2023
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation
We developed a deep ensemble learning model with a radiomics spatial enc...
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10/12/2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Given a convex function fℝ^d→ℝ, the problem of sampling from a distribut...
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10/12/2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection
Purpose: To develop a U-Net segmentation uncertainty quantification meth...
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03/01/2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
Purpose: To develop a neural ordinary differential equation (ODE) model ...
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05/22/2021
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application
This paper develops a method of biologically guided deep learning for po...
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12/11/2020
Sublinear classical and quantum algorithms for general matrix games
We investigate sublinear classical and quantum algorithms for matrix gam...
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11/05/2019
On the Quantum Complexity of Closest Pair and Related Problems
The closest pair problem is a fundamental problem of computational geome...
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10/14/2019
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
We present an algorithmic framework generalizing quantum-inspired polylo...
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08/11/2019
Quantum algorithm for estimating volumes of convex bodies
Estimating the volume of a convex body is a central problem in convex ge...
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01/10/2019
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches
Semidefinite programming (SDP) is a central topic in mathematical optimi...
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11/12/2018
Quantum-inspired sublinear classical algorithms for solving low-rank linear systems
We present classical sublinear-time algorithms for solving low-rank line...
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03/22/2018