Radiomics and AI in Medical Imaging

• 2770 · PDF astril : Automated segmentation toolkit for radiology image libraries Alexander L. Ling, C. Zoe Linke, Christopher M. Jannotta, Data Science Teamlab, E. Antonio Chiocca
• 2771 · PDF Integrating image and text-based AI improves identification of metastatic sites from whole-slide pathology images Yixin Chen, Ziyu Su, Muhammad Khalid Niazi, Anil Vasdev Parwani, Elshad Hasanov
• 2772 · PDF Noninvasive artificial intelligence system for prediction of lenvatinib based therapeutic regimens response and outcome in unresectable hepatocellular carcinoma Bo Chen, Yuqian Gan, Enguang Zou, Yi Wang, Gang Chen
• 2773 · PDF Multi-regional CT-based radiomics fusion predicts pathological pollutant index associated with lung adenocarcinoma Yutong Li, Xiaoxi Pan, Abishek Balachandra, Chingyi Young, Maria Esther Salvatierra, Carmen Behrens, Luisa Maren Solis Soto, Yinyin Yuan, Chengyue Wu
• 2774 · PDF Pulmonary nodule tracking in metastatic Ewing sarcoma enables personalized predictive models Kevin A. Murgas, Shambhavi Kurup, Maureiq Ojwang, Rene Malazarte, Danh D. Truong, Heiko Enderling, Joseph A. Ludwig
• 2775 · PDF Deep-learning CT biomarker improves early efficacy detection in simulated randomized phase II NSCLC trials Chiharu Sako, Brenda F. Kurland, Taly G. Schmidt, Dwight H. Owen, Arpan A. Patel, Nicholas C. Love, Olivier Gevaert, George R. Simon, Ravi B. Parikh, Petr Jordan
• 2776 · PDF Prognostic value of CT radiomics in patients with gBRCA1/2 and PALB2 and advanced pancreas cancer Sonal Gandhi, Jayasree Chakraborty, Hadi Ghahremannezhad, Richard Do, Natally Horvat, Kenneth H. Yu, Wungki Park, Eileen M. O'Reilly
• 2777 · PDF Automatic contrast phase classification of polyphasic CT scans Georgia Hughes, Mayank Patwari, Yi Wei, Michael Parker, James Parkin, Zhenning Zhang, Aleksandr Filippov
• 2778 · PDF Learning spatial transcriptomic patterns from whole-slide images with a cancer-scale foundation model Minsoo Lee, Soonyoung Lee, Tae Hyun Hwang, Jongseong Jang
• 2779 · PDF Development and evaluation of a MIRAI 5-year risk model with a breast cancer polygenic risk score Christopher G. Scott, Peter Kraft, Imon Banerjee, Ramon Correa Medero, Aaron D. Norman, Fergus J. Couch, Karla Kerlikowske, Stacey J. Winham, Celine M. Vachon
• 2782 · PDF Automated segmentation of hepatocellular carcinoma lesions on contrast-enhanced MRI using an AI model in patients with cirrhosis Emma J. Stevenson, Nathan Lay, Stephanie A. Harmon, Haoyue Zhang, Fahmida Haque, Peter Choyke, Theo Heller, Ross Filice, Baris Turkbey, Christine Hsu
• 2783 · PDF Lung cancer intelligent detection (LUCID) using a universally accessible, cross-platform, AI-powered application Gowrishankar Palaniswamy, Elangovan Krishnan, Jansi R. Sethuraj, Muhammad Waqas Khan, Aravind Raghavan
• 2784 · PDF Integrating spatial transcriptomics with MRI reveals distinct radio-spatial genomic profile concordant with prostate cancer clonal heterogeneity Thineskrishna Anbarasan, Sandy Figiel, Max Beesley, Wencheng Yin, Ruth McPherson, Richard Colling, Freddie Hamdy, Richard J. Bryant, Bartlomiej Papiez, Alastair D. Lamb, Ian Mills
• 2785 · PDF Assessing the risk of breast cancer recurrence with pre-treatment MRI: A transfer learning study on multicenter data Kanika Bhalla, Adrian Sanchez, José Marcio Luna, Tabassum Ahmad, Debbie L. Bennett, Andrew A. Davis, Aimilia Gastounioti
• 2786 · PDF CorrectionNet: A lightweight residual refinement framework for improving medical image segmentation Antoine Azar, Cally Lin, Naryeong Kim
• 2787 · PDF Evaluation of imaging-based prognostication (IPRO) using artificial intelligence (AI) in stage IV colorectal cancer (CRC) patients treated with first-line (1L) systemic therapy Mohammed A. Alvi, Ronald Bridges, Marina Salluzzi, Felipe Soares Torres, Kartik Jhaveri, Natasha B. Leighl, John Riskas, Shahid Haider, Vignesh Sivan, Oleksandra Samodorova, Jay Hennesy, Duoaud Shah, FELIX BALDAUF-LENSCHEN, Omar F. Khan
• 2788 2788 Multi-site development of automated lesion classification for comprehensive tumor burden assessment: Addressing the RECIST trial-practice disconnect Ella Pavlechko, Xi Jiang, Ravikumar Komandur Elayavilli, Eleanor McCabe, Jon McDunn, Sean Khozin
• 2789 · PDF Depth prediction in superficial esophageal cancer using a foundation model from endoscopic images Sehun Kim, Sohyung Kim, Hyosoon Yoo, Hyuk Lee, Yang Won Min
• 2790 · PDF Foundation model-based gastric cancer staging from complete, uncurated EGD image sequences Sehun Kim, Hyosoon Yoo, Yang Won Min, Hyuk Lee
• 2791 · PDF Deep learning-based survival prediction of post-operative GBM patients via multimodal radiomic phenotypes drawn from Kaniadakis vector embedding in latent space Roy Nasr, Bardia Rodd
• 2792 · PDF Leveraging PR-isometric guided deep learning to decode CT-based tumor heterogeneity and enhanced NSCLC prognosis Joel Thomas, Blake Gilbert, Harmen Siezen, Lan Ma, Jimmy J Azarnoosh, Bardia Rodd

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