Texture feature analysis for prediction of postoperative liver failure prior to surgery. - Amber L. Simpson; Richard K. G. Do; E. Patricia Parada; Michael I. Miga; William R. Jarnagin (Image Processing, 2014)

Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. - Jayasree Chakraborty; Liana Langdon-Embry; Joanna G. Escalon; Peter J. Allen; Maeve A. Lowery; Eileen M. O'Reilly; Richard K. G. Do; Amber L. Simpson (Image Processing, 2016)

Preoperative assessment of microvascular invasion in hepatocellular carcinoma. - Jayasree Chakraborty; Jian Zheng; Mithat Gönen; William R. Jarnagin; Ronald P. DeMatteo; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2017)

Quantification of CT images for the classification of high- and low-risk pancreatic cysts. - Lior Gazit; Jayasree Chakraborty; Marc A. Attiyeh; Liana Langdon-Embry; Peter J. Allen; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2017)

Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. - Jayasree Chakraborty; Alessandra Pulvirenti; Rikiya Yamashita; Abhishek Midya; Mithat Gönen; David S. Klimstra; Diane L. Reidy; Peter J. Allen; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2018)

Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. - Abhishek Midya; Jayasree Chakraborty; Linda M. Pak; Jian Zheng; William R. Jarnagin; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2018)

A large annotated medical image dataset for the development and evaluation of segmentation algorithms. - Amber L. Simpson; Michela Antonelli; Spyridon Bakas; Michel Bilello; Keyvan Farahani; Bram van Ginneken; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; et al. (CoRR, 2019)

A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. - Travis L. Williams; Kate A. Harrington; Sharon A. Lawrence; Jayasree Chakraborty; Mohammad A. Al Efishat; Marc A. Attiyeh; Gokce Askan; Yuting Chou; Alessandra Pulvirenti; Caitlin A. McIntyre; Mithat Gonen; Olca Basturk; et al. (Image-Guided Procedures, 2020)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. - Jayasree Chakraborty; Joshua S. Jolissaint; Tiegong Wang; Kevin C. Soares; Mithat Gonen; Linda M. Pak; Thomas Börner; Richard K. G. Do; Vinod P. Balachandran; Michael I. D'Angelica; Jeffrey A. Drebin; T. Peter Kingham; et al. (Computer-Aided Diagnosis, 2022)

Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. - Ramtin Mojtahedi; Mohammad Hamghalam; Richard K. G. Do; Amber L. Simpson (MMMI@MICCAI, 2022)

Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. - Karen E. Batch; Jianwei Yue; Alex Darcovich; Kaelan Lupton; Corinne C. Liu; David P. Woodlock; Mohammad Ali K. El Amine; Pamela I. Causa-Andrieu; Lior Gazit; Gary H. Nguyen; Farhana H. Zulkernine; Richard K. G. Do; et al. (Frontiers Artif. Intell., 2022)

Parameter-Efficient Methods for Metastases Detection fromClinical Notes. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (Canadian AI, 2023)

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. - Mohammad Hamghalam; Richard K. G. Do; Amber L. Simpson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. - Ramtin Mojtahedi; Mohammad Hamghalam; William R. Jarnagin; Richard K. G. Do; Amber L. Simpson (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. - Jacob J. Peoples; Mohammad Hamghalam; Imani James; Maida Wasim; Natalie Gangai; HyunSeon Christine Kang; Xiujiang John Rong; Yun Shin Chun; Richard K. G. Do; Amber L. Simpson (UNSURE@MICCAI, 2023)

Parameter-Efficient Methods for Metastases Detection from Clinical Notes. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (CoRR, 2023)

Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. - Abhishek Midya; Jayasree Chakraborty; Rami Srouji; Raja R. Narayan; Thomas Börner; Jian Zheng; Linda M. Pak; John M. Creasy; Luz A. Escobar; Kate A. Harrington; Mithat Gönen; Michael I. D'Angelica; et al. (IEEE J. Biomed. Health Informatics, 2023)

Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection. - Maede Ashofteh Barabadi; Wai-Yip Chan; Xiaodan Zhu 001; Amber L. Simpson; Richard K. G. Do (CCECE, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. - Christopher Wiedeman; Peter Lorraine; Ge Wang 001; Richard K. G. Do; Amber L. Simpson; Jacob J. Peoples; Bruno De Man (Vis. Comput. Ind. Biomed. Art, 2024)

Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. - Maede Ashofteh Barabadi; Xiaodan Zhu 001; Wai-Yip Chan; Amber L. Simpson; Richard K. G. Do (Frontiers Artif. Intell., 2025)

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. - Jacob J. Peoples; Mohammad Hamghalam; Imani James; Maida Wasim; Natalie Gangai; HyunSeon Christine Kang; Xiujiang John Rong; Yun Shin Chun; Richard K. G. Do; Amber L. Simpson (CoRR, 2025)

Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging. - Dashti A. Ali; Richard K. G. Do; William R. Jarnagin; Aras T. Asaad; Amber L. Simpson (CoRR, 2025)