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https://pmc.ncbi.nlm.nih.gov/articles/PMC10770412/ Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical... Accurate prognosis for cancer patients can provide critical information for optimizing treatment plans and improving life quality. Combining omics data and... deep learning framework cancer survival analysis https://openreview.net/forum?id=oRA8BPiduI Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images |... Statistical Shape Modelling (SSM) is an effective tool for quantitatively analyzing anatom- ical populations. SSM has benefitted largely from advances in deep... deep learning framework https://www.nvidia.com/en-sg/data-center/gpu-accelerated-applications/mxnet/ xNet Deep Learning Framework and GPU Acceleration | NVIDIA Data Center Run deep learning training with MxNet faster on the latest NVIDIA Pascal GPUs. Learn more. deep learning framework gpu acceleration xnet nvidia data https://pmc.ncbi.nlm.nih.gov/articles/PMC12001402/ CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction... Mortality prediction is critical in clinical care, particularly in intensive care units (ICUs), where early identification of high-risk patients can inform... deep learning framework https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51544/ DeepRec: Toward High-Performance Recommendation Deep Learning Framework with GPU Acceleration.... Recommendation models are indispensable deep learning models that have huge commercial value for retailing, advertising, social network, media, and search deep learning framework high performance toward recommendation https://openreview.net/forum?id=ckC0a4LQPy&referrer=%5Bthe%20profile%20of%20Josefine%20Vilsb%C3%B8ll%20Sundgaard%5D(%2Fprofile%3Fid%3D~Josefine_Vilsb%C3%B8ll_Sundgaard1) Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework | OpenReview While neural networks achieve strong performance in medical image analysis, effectively combining their predictions with human expertise remains a critical... deep learning framework uncertainty aware classification human https://openreview.net/forum?id=l9xcaljYpL&referrer=%5Bthe%20profile%20of%20Kevin%20Yen%5D(%2Fprofile%3Fid%3D~Kevin_Yen1) DeepGD: A Deep Learning Framework for Graph Drawing Using GNN | OpenReview In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing graph layouts. However, it remains a challenging... deep learning framework graph drawing https://pmc.ncbi.nlm.nih.gov/articles/PMC12047240/ Geometric deep learning framework for de novo genome assembly - PMC The critical stage of every de novo genome assembler is identifying paths in assembly graphs that correspond to the reconstructed genomic sequences. The... geometric deep learning genome assembly framework novo pmc https://github.com/microsoft/PhysioPro GitHub - microsoft/PhysioPro: A deep learning framework for physiological data processing and... A deep learning framework for physiological data processing and understanding. - microsoft/PhysioPro deep learning framework github microsoft https://deepai.org/publication/nuclick-a-deep-learning-framework-for-interactive-segmentation-of-microscopy-images NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images | DeepAI May 29, 2020 - 05/29/20 - Object Segmentation is an important step in the work-flow of computational pathology. Deep learning based models as the best formi... deep learning framework https://arxiv.org/abs/1602.08191 [1602.08191] DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters Abstract page for arXiv paper 1602.08191: DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters distributed deep learning https://pmc.ncbi.nlm.nih.gov/articles/PMC12538981/ A knowledge-driven deep learning framework for organoid morphological segmentation and... Organoids have great potential to revolutionize various aspects of biomedical research and healthcare. Researchers typically use the fluorescence-based... deep learning framework knowledge driven https://arxiv.org/abs/2010.04062v1 [2010.04062v1] MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response Abstract page for arXiv paper 2010.04062v1: MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response deep learning framework https://deepai.org/publication/deep-learning-framework-applied-for-predicting-anomaly-of-respiratory-sounds Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds | DeepAI Dec 26, 2020 - 12/26/20 - This paper proposes a robust deep learning framework used for classifying anomaly of respiratory cycles. Initially, our framework ... deep learning framework respiratory sounds applied https://caffe.berkeleyvision.org/ Caffe | Deep Learning Framework deep learning caffe framework https://www.wri.org/research/using-deep-learning-framework-forecast-reservoir-water-availability-india Using a Deep Learning Framework to Forecast Reservoir Water Availability in India | World Resources... WRI introduces a near-real-time forecast of reservoir water volumes for the coming 90 days, using a deep learning framework called the Bayesian long short-term... https://deepai.org/publication/refit-a-unified-watermark-removal-framework-for-deep-learning-systems-with-limited-data REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data | DeepAI Nov 17, 2019 - 11/17/19 - Deep neural networks (DNNs) have achieved tremendous success in various fields; however, training these models from scratch could ... https://www.mdpi.com/2075-4418/13/10/1703 A Deep Learning Framework for the Prediction and Diagnosis of Ovarian Cancer in Pre- and... Ovarian cancer ranks as the fifth leading cause of cancer-related mortality in women. Late-stage diagnosis (stages III and IV) is a major challenge due to the... diagnosis of ovarian cancer https://github.com/sola-st/CMI-Finder GitHub - sola-st/CMI-Finder: CMI-Finder is a deep learning-based framework to detect inconsistent... CMI-Finder is a deep learning-based framework to detect inconsistent condition-message statements in Python code - sola-st/CMI-Finder https://www.tomshardware.com/news/ceva-cdnn2-tensorflow-embedded-systems,32158.html Ceva's Improved Deep Learning Software Framework Now Supports TensorFlow For Embedded Systems |... Jun 27, 2016 - Ceva, a licensor of signal processing IP, announced that its new deep neural network software library brings major new improvements as well as support for... deep learning software https://arxiv.org/abs/2208.00808v2 [2208.00808v2] A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning Abstract page for arXiv paper 2208.00808v2: A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning online and offline https://www.easychair.org/publications/preprint/Dssf Cloud-Based Diabetic Prediction Framework: Deep Learning Approach cloud based prediction framework deep learning diabetic approach