MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang, | Summary: Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online […]


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Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford | Summary: Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model […]


Continue.. Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by klaurent Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Computing SHAP Efficiently Using Model Structure Information

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Linwei Hu, Ke Wang, , , | Summary: SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is the computation time. An exact computation of Shapley values […]


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Provably safe systems: the only path to controllable AGI

Posted by klaurent MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Max Tegmark, Steve Omohundro, , , | Summary: We describe a path to humanity safely thriving with powerful Artificial General Intelligences (AGIs) by building them to provably satisfy human-specified requirements. We argue that this will soon be technically feasible using advanced AI for formal verification and mechanistic […]


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Magnetic structures and turbulence in SN 1006 revealed with imaging X-ray polarimetry

Posted by klaurent MIT

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Ping Zhou, Dmitry Prokhorov, Riccardo Ferrazzoli, Yi-Jung Yang, Patrick Slane | Summary: Young supernova remnants (SNRs) strongly modify surrounding magnetic fields, which in turn play an essential role in accelerating cosmic rays (CRs). X-ray polarization measurements probe magnetic field morphology and turbulence at the immediate acceleration […]


Continue.. Magnetic structures and turbulence in SN 1006 revealed with imaging X-ray polarimetry