output
20172026
most citedSegment Anything in Medical Images

2.8k citations

Showing 2022Show all

29 papers · 1 filter

cs.CV2022★ 1 cited

Framework-agnostic Semantically-aware Global Reasoning for Segmentation

Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little

Recent advances in pixel-level tasks (e.g. segmentation) illustrate the benefit of of long-range interactions between aggregated region-based representations that can enhance local…

cs.CC2022★ 2 cited

Lifting to Parity Decision Trees Via Stifling

Arkadev Chattopadhyay, Nikhil S. Mande, Swagato Sanyal +1

We show that the deterministic decision tree complexity of a (partial) function or relation lifts to the deterministic parity decision tree (PDT) size complexity of the compose…

physics.chem-ph2022★ 15 cited

Inverse molecular design and parameter optimization with Hückel theory using automatic differentiation

R. A. Vargas-Hernández, K. Jorner, R. Pollice +1

Semi-empirical quantum chemistry has recently seen a renaissance with applications in high-throughput virtual screening and machine learning. The simplest semi-empirical model stil…

cs.RO2022★ 2 cited

Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection

Catherine R. Glossop, Jacopo Panerati, Amrit Krishnan +2

In this study, we leverage the deliberate and systematic fault-injection capabilities of an open-source benchmark suite to perform a series of experiments on state-of-the-art deep…

physics.chem-ph2022★ 28 cited

Towards DMC accuracy across chemical space with scalable -QML

Bing Huang, O. Anatole von Lilienfeld, Jaron T. Krogel +1

In the past decade, quantum diffusion Monte Carlo (DMC) has been demonstrated to successfully predict the energetics and properties of a wide range of molecules and solids by numer…

quant-ph2022★ 88 cited

Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang +8

De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time and resource-consuming, and i…