Richard K. G. Do

28 papers B 2Journal 14Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT. Comput. Methods Programs Biomed. Mohammad Hamghalam, Jacob J. Peoples, Kaitlyn S. M. Kobayashi, Grace Park, Erin Kwak, E. Claire Bunker, Natalie Gangai, Mithat Gonen, Yun Shin Chun, Hyunseon Christine Kang, Richard K. G. Do, Amber L. Simpson
2025	J	`jnl`	A Novel Patch-Based TDA Approach for Computed Tomography. CoRR Dashti A. Ali, Aras T. Asaad, Jacob J. Peoples, Mohammad Hamghalam, Alex Robins, Mane Piliposyan, Richard K. G. Do, Natalie Gangai, Yun Shin Chun, Ahmad Bashir Barekzai, Jayasree Chakraborty, Hala Khasawneh, Camila Vilela, Natally Horvat, João Miranda, Alice C. Wei, Amber L. Simpson
2025	J	`jnl`	Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging. CoRR Dashti A. Ali, Richard K. G. Do, William R. Jarnagin, Aras T. Asaad, Amber L. Simpson
2025	J	`jnl`	Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. CoRR 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
2025	J	`jnl`	Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. Frontiers Artif. Intell. Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2024	—	`conf`	Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection. CCECE Maede Ashofteh Barabadi, Wai-Yip Chan, Xiaodan Zhu, Amber L. Simpson, Richard K. G. Do
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR 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
2024	J	`jnl`	Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Vis. Comput. Ind. Biomed. Art Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man
2023	J	`jnl`	Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases. CoRR Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2023	—	`conf`	Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. Biomedical Applications in Molecular, Structural, and Functional Imaging Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2023	J	`jnl`	Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. UNSURE@MICCAI 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
2023	—	`conf`	Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson
2023	J	`jnl`	Parameter-Efficient Methods for Metastases Detection from Clinical Notes. CoRR Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2023	—	`conf`	Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2023	J	`jnl`	Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. CoRR Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2022	—	`conf`	CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. Computer-Aided Diagnosis 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
2022	J	`jnl`	Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. Frontiers Artif. Intell. 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
2022	—	`conf`	Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. MMMI@MICCAI Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR 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
2020	—	`conf`	A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. Image-Guided Procedures 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
2019	J	`jnl`	A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR 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
2018	—	`conf`	Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Computer-Aided Diagnosis Abhishek Midya, Jayasree Chakraborty, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson
2018	—	`conf`	Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. Computer-Aided Diagnosis 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
2017	—	`conf`	Preoperative assessment of microvascular invasion in hepatocellular carcinoma. Computer-Aided Diagnosis Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson
2017	—	`conf`	Quantification of CT images for the classification of high- and low-risk pancreatic cysts. Computer-Aided Diagnosis Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson
2016	B	`conf`	Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. Image Processing 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
2014	B	`conf`	Texture feature analysis for prediction of postoperative liver failure prior to surgery. Image Processing Amber L. Simpson, Richard K. G. Do, E. Patricia Parada, Michael I. Miga, William R. Jarnagin