Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis

Kavli Affiliate: Changhuei Yang | First 5 Authors: Haowen Zhou, Steven, Lin, Mark Watson, Cory T. Bernadt | Summary: Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperforms human pathologists. Increasing sizes and complexity of the DNN architecture generally […]


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Polycatenated Architected Materials

Kavli Affiliate: Chiara Daraio | First 5 Authors: Wenjie Zhou, Sujeeka Nadarajah, Liuchi Li, Anna G. Izard, Aashutosh K. Prachet | Summary: Architected materials derive their properties from the geometric arrangement of their internal structural elements, rather than solely from their chemical composition. They can display remarkable behaviors such as high strength while being lightweight, […]


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Large-scale time-multiplexed nanophotonic parametric oscillators

Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Ryoto Sekine, Luis Ledezma, Gordon H. Y. Li, Selina Zhou | Summary: Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant attention has focused on studying coupled resonators […]


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Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


Continue.. Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


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Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering

Kavli Affiliate: Lihong Wang | First 5 Authors: Yibo Zhang, Lihong Wang, Changqing Zou, Tieru Wu, Rui Ma | Summary: 3D sketches are widely used for visually representing the 3D shape and structure of objects or scenes. However, the creation of 3D sketch often requires users to possess professional artistic skills. Existing research efforts primarily […]


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FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Wei Gao, , , | Summary: Text-to-image diffusion models can be fine-tuned in custom domains to adapt to specific user preferences, but such unconstrained adaptability has also been utilized for illegal purposes, such as forging public figures’ portraits and duplicating copyrighted artworks. Most existing work […]


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Single-shot volumetric fluorescence imaging with neural fields

Kavli Affiliate: Changhuei Yang | First 5 Authors: Oumeng Zhang, Haowen Zhou, Brandon Y. Feng, Elin M. Larsson, Reinaldo E. Alcalde | Summary: Single-shot volumetric fluorescence (SVF) imaging offers a significant advantage over traditional imaging methods that require scanning across multiple axial planes as it can capture biological processes with high temporal resolution across a […]


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Single-shot volumetric fluorescence imaging with neural fields

Kavli Affiliate: Changhuei Yang | First 5 Authors: Oumeng Zhang, Haowen Zhou, Brandon Y. Feng, Elin M. Larsson, Reinaldo E. Alcalde | Summary: Single-shot volumetric fluorescence (SVF) imaging offers a significant advantage over traditional imaging methods that require scanning across multiple axial planes as it can capture biological processes with high temporal resolution across a […]


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