Richard K. G. Do

According to our database, Richard K. G. Do authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.

Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man

Vis. Comput. Ind. Biomed. Art, December, 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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze

CoRR, 2024

Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection.

Maede Ashofteh Barabadi, Wai-Yip Chan, Xiaodan Zhu, Amber L. Simpson, Richard K. G. Do

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

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, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson

IEEE J. Biomed. Health Informatics, May, 2023

Parameter-Efficient Methods for Metastases Detection from Clinical Notes.

Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do

CoRR, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases.

Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

Parameter-Efficient Methods for Metastases Detection fromClinical Notes.

Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

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, Amber L. Simpson

Frontiers Artif. Intell., 2022

Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation.

Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

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, Alice C. Wei, William R. Jarnagin

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

The Medical Segmentation Decathlon.

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2021

2020

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, Vinod P. Balachandran, T. Peter Kingham, Michael I. D'Angelica, William R. Jarnagin, Jeffrey A. Drebin, Richard K. G. Do, Peter J. Allen, Amber L. Simpson

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2019

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, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2019

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

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

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2014

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

Proceedings of the Medical Imaging 2014: Image Processing, 2014