110 results on '"Ashirbani Saha"'
Search Results
2. Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
3. Breast cancer learning health system: Patient information from a data and analytics platform characterizes care provided
4. Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
5. Generative AI for brain image computing and brain network computing: a review
6. A scoping review of natural language processing of radiology reports in breast cancer
7. The Traumatic Brain Injury Model Systems National Database: A Review of Published Research
8. Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons
9. Gene Expression Signatures Identify Biologically Homogenous Subgroups of Grade 2 Meningiomas
10. Measurement of adverse cosmesis in breast cancer: A deep learning approach.
11. Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.
12. Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review.
13. Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images.
14. Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.
15. Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.
16. Deep learning for identifying radiogenomic associations in breast cancer.
17. Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review.
18. Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model.
19. Predicting Severity of Head Collision Events in Elite Soccer Using Preinjury Data: A Machine Learning Approach
20. Effects of MRI scanner parameters on breast cancer radiomics.
21. Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
22. Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center
23. Full-reference image quality assessment by combining global and local distortion measures.
24. Multimodal 3D histogram for moving object detection.
25. Dual Gaussian mixture model with pixel history for background suppression.
26. Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images.
27. Deep learning in radiology: an overview of the concepts and a survey of the state of the art.
28. Development and validation of a patient-centered, meningioma-specific quality-of-life questionnaire
29. Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment.
30. A study on using spectral saliency detection approaches for image quality assessment.
31. SVD Filter Based Multiscale Approach for Image Quality Assessment.
32. Multiresolution based sigma-delta for motion segmentation.
33. Resident evaluations in the age of competency-based medical education: faculty perspectives on minimizing burdens
34. Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis.
35. Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics.
36. Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data.
37. Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation.
38. Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression.
39. Breast cancer molecular subtype classification using deep features: preliminary results.
40. Curvelet Entropy for Facial Expression Recognition.
41. Facial expression recognition using curvelet based local binary patterns.
42. Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
43. Deep Learning for identifying radiogenomic associations in breast cancer.
44. A cost effective probabilistic approach to localization and mapping.
45. Analysis and extension of multiresolution singular value decomposition.
46. Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons
47. Setting standards of performance expected in neurosurgery residency: A study on entrustable professional activities in competency-based medical education
48. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis
49. Mutual spectral residual approach for multifocus image fusion.
50. Perceptual image quality assessment using phase deviation sensitive energy features.
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