Search Results - "Richard Chen"

Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training by Mahmood, Faisal, Chen, Richard, Durr, Nicholas J.

“…To realize the full potential of deep learning for medical imaging, large annotated datasets are required for training. Such datasets are difficult to acquire…”
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Retrieval of Permafrost Active Layer Properties Using Time-Series P-Band Radar Observations by Chen, Richard H., Tabatabaeenejad, Alireza, Moghaddam, Mahta

“…We propose a method to estimate the active layer properties, including soil dielectric profiles and active layer thickness (ALT), in permafrost regions using…”
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Ultrafast Tracking of Exciton and Charge Carrier Transport in Optoelectronic Materials on the Nanometer Scale by Schnedermann, Christoph, Sung, Jooyoung, Pandya, Raj, Verma, Sachin Dev, Chen, Richard Y. S, Gauriot, Nicolas, Bretscher, Hope M, Kukura, Philipp, Rao, Akshay

“…We present a novel optical transient absorption and reflection microscope based on a diffraction-limited pump pulse in combination with a wide-field probe…”
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Long-range ballistic propagation of carriers in methylammonium lead iodide perovskite thin films by Sung, Jooyoung, Schnedermann, Christoph, Ni, Limeng, Sadhanala, Aditya, Chen, Richard Y. S., Cho, Changsoon, Priest, Lee, Lim, Jong Min, Kim, Hyun-Kyung, Monserrat, Bartomeu, Kukura, Philipp, Rao, Akshay

“…The performance of semiconductor devices is fundamentally governed by charge-carrier dynamics within the active materials 1 – 6 . Although advances have been…”
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Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis by Chen, Richard J., Lu, Ming Y., Wang, Jingwen, Williamson, Drew F. K., Rodig, Scott J., Lindeman, Neal I., Mahmood, Faisal

“…Cancer diagnosis, prognosis, mymargin and therapeutic response predictions are based on morphological information from histology slides and molecular profiles…”
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CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification by Chen, Chun-Fu Richard, Fan, Quanfu, Panda, Rameswar

“…The recently developed vision transformer (ViT) has achieved promising results on image classification compared to convolutional neural networks. Inspired by…”
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Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images by Mahmood, Faisal, Borders, Daniel, Chen, Richard J., Mckay, Gregory N., Salimian, Kevan J., Baras, Alexander, Durr, Nicholas J.

“…Nuclei mymargin segmentation is a fundamental task for various computational pathology applications including nuclei morphology analysis, cell type…”
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Exciton–Phonon Interactions Govern Charge-Transfer-State Dynamics in CdSe/CdTe Two-Dimensional Colloidal Heterostructures by Pandya, Raj, Chen, Richard Y. S, Cheminal, Alexandre, Dufour, Marion, Richter, Johannes M, Thomas, Tudor H, Ahmed, Shahab, Sadhanala, Aditya, Booker, Edward P, Divitini, Giorgio, Deschler, Felix, Greenham, Neil C, Ithurria, Sandrine, Rao, Akshay

“…CdSe/CdTe core–crown type-II nanoplatelet heterostructures are two-dimensional semiconductors that have attracted interest for use in light-emitting…”
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Federated learning for computational pathology on gigapixel whole slide images by Lu, Ming Y., Chen, Richard J., Kong, Dehan, Lipkova, Jana, Singh, Rajendra, Williamson, Drew F.K., Chen, Tiffany Y., Mahmood, Faisal

“…•We present the first large-scale application of privacy-preserving federated learning to weakly supervised computational pathology on gigapixel whole slide…”
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Femtosecond Transient Absorption Microscopy of Singlet Exciton Motion in Side-Chain Engineered Perylene-Diimide Thin Films by Pandya, Raj, Chen, Richard Y. S, Gu, Qifei, Gorman, Jeffrey, Auras, Florian, Sung, Jooyoung, Friend, Richard, Kukura, Philipp, Schnedermann, Christoph, Rao, Akshay

“…We present a statistical analysis of femtosecond transient absorption microscopy applied to four different organic semiconductor thin films based on…”
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Data-efficient and weakly supervised computational pathology on whole-slide images by Lu, Ming Y., Williamson, Drew F. K., Chen, Tiffany Y., Chen, Richard J., Barbieri, Matteo, Mahmood, Faisal

“…Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with…”
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Fuzzy Dark Matter and the 21 cm Power Spectrum by Jones, Dana, Palatnick, Skyler, Chen, Richard, Beane, Angus, Lidz, Adam

“…We model the 21 cm power spectrum across the Cosmic Dawn and the Epoch of Reionization (EoR) in fuzzy dark matter (FDM) cosmologies. The suppression of…”
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Synthetic data in machine learning for medicine and healthcare by Chen, Richard J., Lu, Ming Y., Chen, Tiffany Y., Williamson, Drew F. K., Mahmood, Faisal

“…The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the…”
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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning by Chen, Richard J., Chen, Chengkuan, Li, Yicong, Chen, Tiffany Y., Trister, Andrew D., Krishnan, Rahul G., Mahmood, Faisal

“…Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been…”
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Artificial intelligence for multimodal data integration in oncology by Lipkova, Jana, Chen, Richard J., Chen, Bowen, Lu, Ming Y., Barbieri, Matteo, Shao, Daniel, Vaidya, Anurag J., Chen, Chengkuan, Zhuang, Luoting, Williamson, Drew F.K., Shaban, Muhammad, Chen, Tiffany Y., Mahmood, Faisal

“…In oncology, the patient state is characterized by a whole spectrum of modalities, ranging from radiology, histology, and genomics to electronic health…”
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Reducing Qubit Requirements for Quantum Simulations Using Molecular Point Group Symmetries by Setia, Kanav, Chen, Richard, Rice, Julia E, Mezzacapo, Antonio, Pistoia, Marco, Whitfield, James D

“…Simulating molecules is believed to be one of the early stage applications for quantum computers. Current state-of-the-art quantum computers are limited in…”
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Pan-cancer integrative histology-genomic analysis via multimodal deep learning by Chen, Richard J., Lu, Ming Y., Williamson, Drew F.K., Chen, Tiffany Y., Lipkova, Jana, Noor, Zahra, Shaban, Muhammad, Shady, Maha, Williams, Mane, Joo, Bumjin, Mahmood, Faisal

“…The rapidly emerging field of computational pathology has demonstrated promise in developing objective prognostic models from histology images. However, most…”
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Efficient Uncertainty Quantification in Stochastic Economic Dispatch by Safta, Cosmin, Chen, Richard L-Y, Najm, Habib N., Pinar, Ali, Watson, Jean-Paul

“…Stochastic economic dispatch models address uncertainties in forecasts of renewable generation output by considering a finite number of realizations drawn from…”
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Task activations produce spurious but systematic inflation of task functional connectivity estimates by Cole, Michael W., Ito, Takuya, Schultz, Douglas, Mill, Ravi, Chen, Richard, Cocuzza, Carrisa

“…Most neuroscientific studies have focused on task-evoked activations (activity amplitudes at specific brain locations), providing limited insight into the…”
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All-Optical Detection of Neuronal Membrane Depolarization in Live Cells Using Colloidal Quantum Dots by Caglar, Mustafa, Pandya, Raj, Xiao, James, Foster, Sarah K, Divitini, Giorgio, Chen, Richard Y. S, Greenham, Neil C, Franze, Kristian, Rao, Akshay, Keyser, Ulrich F

“…Luminescent semiconductor quantum dots (QDs) have recently been suggested as novel probes for imaging and sensing cell membrane voltages. However, a key…”
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