Tootfinder

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker
Qi Li, Shaheer U. Saeed, Yuliang Huang, Mingyuan Luo, Zhongnuo Yan, Jiongquan Chen, Xin Yang, Dong Ni, Nektarios Winter, Phuc Nguyen, Lucas Steinberger, Caelan Haney, Yuan Zhao, Mingjie Jiang, Bowen Ren, SiYeoul Lee, Seonho Kim, MinKyung Seo, MinWoo Kim, Yimeng Dou, Zhiwei Zhang, Yin Li, Tomy Varghese, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker
Trackerless freehand ultrasound reconstruction aims to reconstruct 3D volumes from sequences of 2D ultrasound images without relying on external tracking systems, offering a low-cost, portable, and widely deployable alternative for volumetric imaging. However, it presents significant challenges, including accurate inter-frame motion estimation, minimisation of drift accumulation over long sequences, and generalisability across scanning protocols. The TUS-REC2024 Challenge was established to ben…

Ok, just a smol rant... Every time theres a new job platform, it's pretty neccessary to upload a whole portfolio again. And once all the images, and text are uploaded, the tags need to be accurate so they appear in site-searches correctly.
Not only that, but it then needs to be maintained. So, any changes or new projects to add... need to be done on every platform.
Am I wrong in thinking this is so incredibly tedious? lol
#Work #Jobs #Career

ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices
Kevin Pu, Ting Zhang, Naveen Sendhilnathan, Sebastian Freitag, Raj Sodhi, Tanya Jonker
https://arxiv.org/abs/2507.21378

ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices
Wearable AI systems aim to provide timely assistance in daily life, but existing approaches often rely on user initiation or predefined task knowledge, neglecting users' current mental states. We introduce ProMemAssist, a smart glasses system that models a user's working memory (WM) in real-time using multi-modal sensor signals. Grounded in cognitive theories of WM, our system represents perceived information as memory items and episodes with encoding mechanisms, such as displacement and interf…

RIMMS: Runtime Integrated Memory Management System for Heterogeneous Computing
Serhan Gener, Aditya Ukarande, Shilpa Mysore Srinivasa Murthy, Sahil Hassan, Joshua Mack, Chaitali Chakrabarti, Umit Ogras, Ali Akoglu
https://arxiv.org/abs/2507.20514

RIMMS: Runtime Integrated Memory Management System for Heterogeneous Computing
Efficient memory management in heterogeneous systems is increasingly challenging due to diverse compute architectures (e.g., CPU, GPU, FPGA) and dynamic task mappings not known at compile time. Existing approaches often require programmers to manage data placement and transfers explicitly, or assume static mappings that limit portability and scalability. This paper introduces RIMMS (Runtime Integrated Memory Management System), a lightweight, runtime-managed, hardware-agnostic memory abstractio…

Building crypto portfolios with agentic AI
Antonino Castelli, Paolo Giudici, Alessandro Piergallini
https://arxiv.org/abs/2507.20468 https://arxiv.org/pdf/…

Building crypto portfolios with agentic AI
The rapid growth of crypto markets has opened new opportunities for investors, but at the same time exposed them to high volatility. To address the challenge of managing dynamic portfolios in such an environment, this paper presents a practical application of a multi-agent system designed to autonomously construct and evaluate crypto-asset allocations. Using data on daily frequencies of the ten most capitalized cryptocurrencies from 2020 to 2025, we compare two automated investment strategies. …

PSA: 🥵 Idk who needs to hear this, but in a heatwave for the love of science use air conditioning. If you don’t have air conditioning, get a portable unit as soon as possible.
The climate is going to get hotter and heat can very easily kill you or a loved one or a pet; or cause permanent disability.
Heat is a lot more dangerous than cold temperatures; even if you’re “young and healthy”.
The climate is already fucked and has long reached a tipping point as far as humans go—our only bet is large-scale CO2 extraction.
Sacrificing your health “to save energy*” for an imaginary fight that we have already lost is stupid. It’s also one of those “individual responsibility” mindfucks—the culprits for pollution are industry maximizing profits and governments that are not acting.
Anyway, stay cool.
*note that AC uses overall a lot less energy than heating does

Tactile-Guided Robotic Ultrasound: Mapping Preplanned Scan Paths for Intercostal Imaging
Yifan Zhang, Dianye Huang, Nassir Navab, Zhongliang Jiang
https://arxiv.org/abs/2507.20282

Tactile-Guided Robotic Ultrasound: Mapping Preplanned Scan Paths for Intercostal Imaging
Medical ultrasound (US) imaging is widely used in clinical examinations due to its portability, real-time capability, and radiation-free nature. To address inter- and intra-operator variability, robotic ultrasound systems have gained increasing attention. However, their application in challenging intercostal imaging remains limited due to the lack of an effective scan path generation method within the constrained acoustic window. To overcome this challenge, we explore the potential of tactile c…

This https://arxiv.org/abs/2410.03614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Proudfoot-Speyer degenerations of scattering equations
We study scattering equations of hyperplane arrangements from the perspective of combinatorial commutative algebra and numerical algebraic geometry. We formulate the problem as linear equations on a reciprocal linear space and develop a degeneration-based homotopy algorithm for solving them. We investigate the Hilbert regularity of the corresponding homogeneous ideal and apply our methods to CHY scattering equations.

This https://arxiv.org/abs/2501.05440 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Enabling GPU Portability into the Numba-JITed Monte Carlo Particle Transport Code MC/DC
The Center for Exascale Monte Carlo Neutron Transport is developing Monte Carlo / Dynamic Code (MC/DC) as a portable Monte Carlo neutron transport package for rapid numerical methods exploration on CPU- and GPU-based high-performance computers. In this paper, we describe MC/DC's current event-based GPU algorithm as well as the just-in-time (JIT) compilation scheme we use to enable GPU operability on Nvidia and AMD GPUs from MC/DC's Python source. To analyze performance, we conduct runtime tests…

Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization
Duy-Minh Dang, Chang Chen
https://arxiv.org/abs/2505.22121

Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization
We investigate multi-period mean-risk portfolio optimization for long-horizon Defined Contribution plans, focusing on buffered Probability of Exceedance (bPoE), a more intuitive, dollar-based alternative to Conditional Value-at-Risk (CVaR). We formulate both pre-commitment and time-consistent Mean-bPoE and Mean-CVaR portfolio optimization problems under realistic investment constraints (e.g., no leverage, no short selling) and jump-diffusion dynamics. These formulations are naturally framed as …