625 results on '"Ward, Aaron D."'
Search Results
152. RAE-Net: a deep learning system for staging of estrous cycle
153. A cloud-based tool for federated segmentation of whole slide images
154. A deep learning-based computational prediction model for characterizing cellular biomarker distribution in tumor microenvironment
155. Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks
156. Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas.
157. Automated tubular morphometric visualization for whole kidney biopsy
158. Sparse capsule networks for informative representation learning in digital pathology
159. Quantitative evaluation of color difference between actual specimens and whole-slide imaging-scanned images calibrated with commercial color charts
160. Survival time prediction from unannotated lung cancer histopathology images
161. Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing
162. Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease
163. Personalized stain style transfer layers for distributed histology classification
164. Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer
165. Preserving dense features for Ki67 nuclei detection
166. Unsupervised super resolution network for hyperspectral histologic imaging
167. Procedural generation of synthetic multiplex immunohistochemistry images using cell-based image compression and conditional generative adversarial networks
168. Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning
169. A hybrid computational pathology method for the detection of perineural invasion junctions
170. Deep neural network for cell type differentiation in myelodysplastic syndrome diagnosis performs similarly when trained on compensated or uncompensated data
171. Self-supervised learning with large-scale web image mining for characterizing glomerular lesions
172. Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning
173. Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens
174. WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
175. Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images
176. Deep ordinal regression for automatic tumor cellularity assessment from pathological images
177. In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification
178. Predicting HER2 scores from registered HER2 and H&E images
179. Cancer cell segmentation for cellularity prediction via a weakly labeled/strongly labeled hybrid convolutional neural network
180. Assessment of machine learning algorithms for TILs scoring using whole slide images: comparison with pathologists
181. Pixel-level analysis of protein markers in highly multiplexed immunofluorescence images of kidney biopsies
182. Automated eosinophilic segmentation and counting: a comprehensive evaluation
183. Multi-scale multi-site renal microvascular structures segmentation for whole slide imaging in renal pathology
184. Investigating staining variance effects on deep learning-based semantic segmentation in digital pathology
185. Cell spatial analysis in Crohn's disease: unveiling local cell arrangement pattern with graph-based signatures
186. Spatial pathomics toolkit for quantitative analysis of podocyte nuclei with histology and spatial transcriptomics data in renal pathology
187. A generative AI approach for interference study on chromogenic triplex images
188. An unsupervised workflow for explainable biomarker identification based on multiplex data
189. Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology
190. Cross-modality attention-based multimodal fusion for non-small cell lung cancer (NSCLC) patient survival prediction
191. Deep-ODX: an efficient deep learning tool to risk stratify breast cancer patients from histopathology images
192. Efficient grading of prostate cancer WSI with deep learning
193. A full pipeline to analyze lung histopathology images
194. CA-fuse-MIL: cross-attention fusion of handcrafted and deep features for whole slide image classification
195. Survival prediction in pancreatic cancer by attention-driven feature extraction on histopathology whole slide images: a multi-cohort validation
196. Front Matter: Volume 12933
197. Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis
198. Automatic cancer detection and localization on prostatectomy histopathology images
199. 3D human lung histology reconstruction and registration to in vivo imaging
200. Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI
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