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Publication search results
found 37 matches
- 2024
- Brandon Abela, Martin Masek, Jumana Abu-Khalaf, David Suter, Ashu Gupta:
An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. AIME (2) 2024: 30-39 - Abdalrahman Alblwi, Kenneth E. Barner:
Ultrasound Image Segmentation via a Multi-scale Salient Network. AIME (2) 2024: 156-161 - Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
Supervised Pectoral Muscle Removal in Mammography Images. AIME (2) 2024: 126-130 - Mátyás Antal, Márk Marosi, Tamás Nagy, András Millinghoffer, András Gézsi, Gabriella Juhász, Péter Antal:
Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations. AIME (2) 2024: 212-226 - Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit:
Explanations of Augmentation Methods for Deep Learning ECG Classification. AIME (2) 2024: 277-287 - Giulia Baldini, Melanie Schmidt, Charlotte Zäske, Liliana Lourenco Caldeira:
MRI Scan Synthesis Methods Based on Clustering and Pix2Pix. AIME (2) 2024: 109-125 - Dario Barac, Teo Manojlovic, Mateja Napravnik, Franko Hrzic, Mihaela Mamula Saracevic, Damir Miletic, Ivan Stajduhar:
Content-Based Medical Image Retrieval for Medical Radiology Images. AIME (2) 2024: 45-59 - Mahshid Benchari, Michael W. Totaro:
MRI Brain Cancer Image Detection: Application of an Integrated U-Net and ResNet50 Architecture. AIME (2) 2024: 104-108 - Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang:
Explainable AI for Fair Sepsis Mortality Predictive Model. AIME (2) 2024: 267-276 - Zhijun Chen, Erolcan Sayar, Haoyue Zhang, Helen Richards, Lucas Liu, Baris Turkbey, Michael Haffner, Stephanie A. Harmon:
A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. AIME (2) 2024: 9-20 - Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. AIME (2) 2024: 227-237 - Nils Gumpfer, Borislav Dinov, Samuel Sossalla, Michael Guckert, Jennifer Hannig:
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation. AIME (2) 2024: 350-361 - Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan:
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) 2024: 204-211 - Xiayuan Huang:
Integrating Multimodal Patient Data into Attention-Based Graph Networks for Disease Risk Prediction. AIME (2) 2024: 194-203 - Sung Ho Jung, Soon Jung Oh, Hakje Yoo, Je Moon Yoon:
Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema Through OCT Features and Clinical Data Integration Based on Deep Learning. AIME (2) 2024: 176-180 - Charles E. Kahn, Abhinav Suri, Safwan Halabi, Hari Trivedi:
Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. AIME (2) 2024: 140-144 - Aryan Kalluvila, Matthew S. Rosen:
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. AIME (2) 2024: 3-8 - Rathika Suresh Kumar, Kelvin Zhenghao Li, Si Yin Charlene Chia, Li Rong Wang, Vivien Cherng Hui Yip, Wei Kiong Ngo, Yih Yng Ng, Xiuyi Fan:
On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study. AIME (2) 2024: 324-334 - Sunghan Lee, Jeonghwan Koh, Guangyao Zheng, Vladimir Braverman, In Cheol Jeong:
Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study. AIME (2) 2024: 288-295 - Ulf Lesley, Alejandro Kuratomi Hernández:
Improving XAI Explanations for Clinical Decision-Making - Physicians' Perspective on Local Explanations in Healthcare. AIME (2) 2024: 296-312 - Timo Löhr, Michael Ingrisch, Eyke Hüllermeier:
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. AIME (2) 2024: 145-155 - Shiling Luo, Junxin Feng, Yiqing Shen, Qiongxiong Ma:
Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis. AIME (2) 2024: 95-103 - Pranav Manjunath, Brian Lerner, Timothy Dunn:
Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. AIME (2) 2024: 335-349 - Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu:
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. AIME (2) 2024: 21-29 - Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grégoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski:
Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. AIME (2) 2024: 313-323 - Sudipta Modak, Yash Trivedi, Esam Abdel-Raheem, Luis Rueda:
Harnessing the Power of Graph Propagation in Lung Nodule Detection. AIME (2) 2024: 70-80 - Lorenzo Peracchio, Giovanna Nicora, Tommaso Mario Buonocore, Riccardo Bellazzi, Enea Parimbelli:
Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. AIME (2) 2024: 257-266 - Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi:
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. AIME (2) 2024: 249-253 - Tianyuan Song, Guixia Kang, Yiqing Shen:
TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. AIME (2) 2024: 131-139 - Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu:
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. AIME (2) 2024: 60-69
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