Zobrazeno 1 - 10
of 58 755
pro vyhledávání: '"Sethi, A."'
The adoption of security protocols such as Transport Layer Security (TLS) has significantly improved the state of traffic encryption and integrity protection on the Internet. Despite rigorous analysis, vulnerabilities continue to emerge, sometimes du
Externí odkaz:
http://arxiv.org/abs/2411.09770
Autor:
Gupta, Ravi Kant, Jindal, Mohit, Jain, Garima, Sridhar, Epari, Yadav, Subhash, Jain, Hasmukh, Shet, Tanuja, Sakhdeo, Uma, Sengar, Manju, Nayak, Lingaraj, Bagal, Bhausaheb, Apkare, Umesh, Sethi, Amit
We address the challenge of automated classification of diffuse large B-cell lymphoma (DLBCL) into its two primary subtypes: activated B-cell-like (ABC) and germinal center B-cell-like (GCB). Accurate classification between these subtypes is essentia
Externí odkaz:
http://arxiv.org/abs/2411.08531
The advancement of digital pathology, particularly through computational analysis of whole slide images (WSI), is poised to significantly enhance diagnostic precision and efficiency. However, the large size and complexity of WSIs make it difficult to
Externí odkaz:
http://arxiv.org/abs/2411.08530
Whole Slide Imaging (WSI) is a cornerstone of digital pathology, offering detailed insights critical for diagnosis and research. Yet, the gigapixel size of WSIs imposes significant computational challenges, limiting their practical utility. Our novel
Externí odkaz:
http://arxiv.org/abs/2411.08936
A space-dependent mean for cosmological perturbations negates the ansatz of statistical homogeneity and isotropy, and hence ergodicity. In this work, we construct such a primordial mean of scalar perturbations from an alternative quantum initial stat
Externí odkaz:
http://arxiv.org/abs/2411.01331
Our study introduces ResNet-L2 (RL2), a novel metric for evaluating generative models and image quality in histopathology, addressing limitations of traditional metrics, such as Frechet inception distance (FID), when the data is scarce. RL2 leverages
Externí odkaz:
http://arxiv.org/abs/2411.01034
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessible. We present the cross-modal genomic feature translation and alignmen
Externí odkaz:
http://arxiv.org/abs/2411.00749
A wide range of non-equilibrium phenomena in nature involve non-reciprocal interactions. To understand the novel behaviors that can emerge in such systems, finding tractable models is essential. With this goal, we introduce a non-reciprocal generaliz
Externí odkaz:
http://arxiv.org/abs/2411.00059
Non-reciprocal interactions are a generic feature of non-equilibrium systems. We define a non-reciprocal generalization of the kinetic Ising model in one spatial dimension. We solve the model exactly using two different approaches for infinite, semi-
Externí odkaz:
http://arxiv.org/abs/2410.23615
Autor:
Suryanarayanan, Parthasarathy, Qiu, Yunguang, Sethi, Shreyans, Mahajan, Diwakar, Li, Hongyang, Yang, Yuxin, Eyigoz, Elif, Saenz, Aldo Guzman, Platt, Daniel E., Rumbell, Timothy H., Ng, Kenney, Dey, Sanjoy, Burch, Myson, Kwon, Bum Chul, Meyer, Pablo, Cheng, Feixiong, Hu, Jianying, Morrone, Joseph A.
Foundation models applied to bio-molecular space hold promise to accelerate drug discovery. Molecular representation is key to building such models. Previous works have typically focused on a single representation or view of the molecules. Here, we d
Externí odkaz:
http://arxiv.org/abs/2410.19704