| Nome |
# |
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Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology, file e384c431-f7bb-d4b2-e053-9f05fe0a1d67
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56
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Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks, file e384c433-1f05-d4b2-e053-9f05fe0a1d67
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48
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Multimodal T2w and DWI Prostate Gland Automated Registration, file e384c433-46e5-d4b2-e053-9f05fe0a1d67
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46
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The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis, file e384c432-a5d1-d4b2-e053-9f05fe0a1d67
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44
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The Role in Teledermoscopy of an Inexpensive and Easy-to-Use Smartphone Device for the Classification of Three Types of Skin Lesions Using Convolutional Neural Networks, file e384c433-3d57-d4b2-e053-9f05fe0a1d67
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44
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Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala, file e384c430-7a9f-d4b2-e053-9f05fe0a1d67
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35
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Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images, file e384c433-3b72-d4b2-e053-9f05fe0a1d67
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35
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Automated Segmentation of Fluorescence Microscopy Images for 3D Cell Detection in human-derived Cardiospheres, file e384c430-db5a-d4b2-e053-9f05fe0a1d67
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34
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Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images, file e384c430-2e04-d4b2-e053-9f05fe0a1d67
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33
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Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala, file e384c430-7aa0-d4b2-e053-9f05fe0a1d67
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30
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Fully Automated Muscle Ultrasound Analysis (MUSA): Robust and Accurate Muscle Thickness Measurement, file e384c434-c999-d4b2-e053-9f05fe0a1d67
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30
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Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma, file e384c431-121d-d4b2-e053-9f05fe0a1d67
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28
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Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study, file e384c433-2742-d4b2-e053-9f05fe0a1d67
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27
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Automatic segmentation and classification methods using optical coherence tomography angiography (Octa): A review and handbook, file e384c434-1aa0-d4b2-e053-9f05fe0a1d67
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25
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Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept, file e384c434-39c1-d4b2-e053-9f05fe0a1d67
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25
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Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy, file e384c434-37de-d4b2-e053-9f05fe0a1d67
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22
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Impact of stain normalization and patch selection on the performance of convolutional neural networks in histological breast and prostate cancer classification, file e384c433-1092-d4b2-e053-9f05fe0a1d67
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17
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Automated segmentation of brain cells for clonal analyses in fluorescence microscopy images, file e384c430-f38a-d4b2-e053-9f05fe0a1d67
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16
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Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images, file e384c434-8268-d4b2-e053-9f05fe0a1d67
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15
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DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks, file 4c5b8b21-e1aa-4bcf-b7a2-bb87651891ee
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10
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A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera, file e384c432-d9dd-d4b2-e053-9f05fe0a1d67
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9
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Impact of Stain Normalization on Pathologist Assessment of Prostate Cancer: A Comparative Study, file 793c38e4-86f0-4c6e-a492-cfa81fb5ebbe
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8
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Stain normalization in digital pathology: Clinical multi-center evaluation of image quality, file d72083a8-cf7a-4d97-b753-6dea53f29878
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8
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Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm, file 90d5c63f-7a01-4a6b-bf8e-44cc53404ce6
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7
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Automated assessment of glomerulosclerosis and tubular atrophy using deep learning, file e384c433-6a31-d4b2-e053-9f05fe0a1d67
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7
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A hybrid deep learning approach for gland segmentation in prostate histopathological images, file e384c433-4e3d-d4b2-e053-9f05fe0a1d67
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6
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A hybrid deep learning approach for gland segmentation in prostate histopathological images, file e384c433-6e78-d4b2-e053-9f05fe0a1d67
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6
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DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks, file 09b636af-0c1a-41f0-8321-9d5c2a099efd
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5
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Transverse Muscle Ultrasound Analysis (TRAMA): Robust and Accurate Segmentation of Muscle Cross-Sectional Area, file e384c430-bd03-d4b2-e053-9f05fe0a1d67
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5
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Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology, file e384c432-0e15-d4b2-e053-9f05fe0a1d67
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5
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Multimodal T2w and DWI Prostate Gland Automated Registration, file e384c433-09b8-d4b2-e053-9f05fe0a1d67
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5
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Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images, file e384c430-7870-d4b2-e053-9f05fe0a1d67
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4
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Fully automated quantitative assessment of hepatic steatosis in liver transplants, file e384c432-5546-d4b2-e053-9f05fe0a1d67
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4
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Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy, file e384c434-3cfa-d4b2-e053-9f05fe0a1d67
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4
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Reduction of Cardiac Fibrosis by Interference With YAP-Dependent Transactivation, file b385837f-fb10-4bd0-9ff7-93b6be209fd1
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3
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Segmentation of the carotid artery IMT in ultrasound, file e384c430-8074-d4b2-e053-9f05fe0a1d67
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3
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Automated segmentation of brain cells for clonal analyses in fluorescence microscopy images, file e384c430-eb09-d4b2-e053-9f05fe0a1d67
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3
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Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma, file e384c430-faa3-d4b2-e053-9f05fe0a1d67
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3
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Multi-modality approaches for medical support systems: A systematic review of the last decade, file 0243f38e-092a-47f9-8f9e-fd1578961dd3
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2
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Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm, file 13e26526-c842-4b21-8eeb-892aa1d540b9
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2
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Ultrasound Image Beamforming Optimization Using a Generative Adversarial Network, file 1b181bc0-57b7-4907-8d07-c3cf04abd59d
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2
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Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase, file 5726df4e-ba3d-4751-a7e1-c3a096a0f886
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2
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Effect of low-level light therapy on diabetic foot ulcers: A near-infrared spectroscopy study, file e384c42f-7605-d4b2-e053-9f05fe0a1d67
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2
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Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks, file e384c432-ece5-d4b2-e053-9f05fe0a1d67
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2
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Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images, file e384c433-24da-d4b2-e053-9f05fe0a1d67
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2
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|
Fully Automated Muscle Ultrasound Analysis (MUSA): Robust and Accurate Muscle Thickness Measurement, file e384c433-509e-d4b2-e053-9f05fe0a1d67
|
2
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Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept, file e384c434-1107-d4b2-e053-9f05fe0a1d67
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2
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Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoTM Derma Smartphone Microscope as a Possible New Tool in Daily Clinical Practice, file e384c434-d0ad-d4b2-e053-9f05fe0a1d67
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2
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Karpinski Score under Digital Investigation: A Fully Automated Segmentation Algorithm to Identify Vascular and Stromal Injury of Donors’ Kidneys, file fc0d9e21-2e95-4590-83f6-fcf3a43d8536
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2
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Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals, file 18bb9b36-5969-45c9-b766-f487a40c380f
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1
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Reduction of Cardiac Fibrosis by Interference With YAP-Dependent Transactivation, file 24db265c-c209-4136-b0ae-92b857a5c320
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1
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Ultrasound Image Beamforming Optimization Using a Generative Adversarial Network, file 2e718d8f-831d-4fee-8e3b-8de1ba43242e
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1
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A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images, file 2f1e3e5d-aa35-4332-94fe-2fdf9336b508
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1
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Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023), file 35649852-63db-4392-a8f6-a7e48d7b9147
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1
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Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023), file 498389e9-212b-4b08-9cbc-823c03f97392
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1
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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023), file 62553aa9-fd3e-42b2-bf4a-24dcc0fd8e1e
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1
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Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images, file 70536b9d-1af1-4594-803f-ef2d2ec62b18
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1
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Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis, file 74869594-f326-4f94-81a7-d05a1752b7c0
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1
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YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images, file 80d9f7ae-f8b0-4827-b99c-ce572bee2aed
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1
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Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study, file 9a7e3d63-a9a6-4bce-9924-fe19d5165b6f
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1
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All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems, file ade1b835-5414-4b6f-813b-5a909339bfde
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1
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Innovative temporal loss function for segmentation of fine structures in ultrasound images, file c2db36de-dc4d-4afe-a341-69db1a56cced
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1
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Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm, file c85feb7a-dd59-4a69-8030-4739304ed0ca
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1
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Clinical assessment of deep learning-based uncertainty maps in lung cancer segmentation, file cbf978fe-4a90-4233-a07b-d91878ee3eff
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1
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Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study, file d32ac2c9-f63d-4640-97a8-cbae64a670e9
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1
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Quantitative analysis of prion disease using an AI-powered digital pathology framework, file e1869e82-10d3-477a-b1ec-c06faa11975d
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1
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Fully automated quantitative assessment of hepatic steatosis in liver transplants, file e384c432-6dc6-d4b2-e053-9f05fe0a1d67
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1
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Automated assessment of glomerulosclerosis and tubular atrophy using deep learning, file e384c433-6a34-d4b2-e053-9f05fe0a1d67
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1
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Innovative temporal loss function for segmentation of fine structures in ultrasound images, file f56eb485-0ab6-40e8-9c29-52371d18f535
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1
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| Totale |
757 |
Archivio Istituzionale della Ricerca