 Connection
Harrison Bai to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Harrison Bai has written about Image Processing, Computer-Assisted.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
3.072 |
|
|
|
-
Wang Y, Shi V, Hsu WC, Dai Y, Yao S, Zhong Z, Zhang Z, Wu J, Maxwell A, Collins S, Jiao Z, Bai HX. Optimizing prompt strategies for SAM: advancing lesion segmentation across diverse medical imaging modalities. Phys Med Biol. 2025 Aug 29; 70(17).
Score: 0.657
-
Feng X, Ghimire K, Kim DD, Chandra RS, Zhang H, Peng J, Han B, Huang G, Chen Q, Patel S, Bettagowda C, Sair HI, Jones C, Jiao Z, Yang L, Bai H. Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J Digit Imaging. 2023 10; 36(5):2075-2087.
Score: 0.565
-
He Y, Pan I, Bao B, Halsey K, Chang M, Liu H, Peng S, Sebro RA, Guan J, Yi T, Delworth AT, Eweje F, States LJ, Zhang PJ, Zhang Z, Wu J, Peng X, Bai HX. Deep learning-based classification of primary bone tumors on radiographs: A preliminary study. EBioMedicine. 2020 Dec; 62:103121.
Score: 0.472
-
Collins SA, Wu J, Bai HX. Facial De-identification of Head CT Scans. Radiology. 2020 Jul; 296(1):22.
Score: 0.452
-
Chen J, Wei S, Honkamaa J, Marttinen P, Zhang H, Liu M, Zhou Y, Tan Z, Wang Z, Wang Y, Zhou H, Hu S, Zhang Y, Tao Q, Förner L, Wendler T, Jian B, Wiestler B, Hable T, Kim J, Ruan D, Madesta F, Sentker T, Heyer W, Zuo L, Dai Y, Wu J, Prince JL, Bai H, Du Y, Liu Y, Hering A, Dorent R, Hansen L, Heinrich MP, Carass A. Beyond the LUMIR challenge: The pathway to foundational registration models. Med Image Anal. 2026 Sep; 113:104175.
Score: 0.174
-
Chen J, Wei S, Liu Y, Bian Z, He Y, Carass A, Bai H, Du Y. Unsupervised learning of spatially varying regularization for diffeomorphic image registration. Med Image Anal. 2026 02; 108:103887.
Score: 0.167
-
Kim DD, Chandra RS, Yang L, Wu J, Feng X, Atalay M, Bettegowda C, Jones C, Sair H, Liao WH, Zhu C, Zou B, Kazerooni AF, Nabavizadeh A, Jiao Z, Peng J, Bai HX. Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction. J Imaging Inform Med. 2024 Oct; 37(5):2099-2107.
Score: 0.149
-
Peng J, Kim DD, Patel JB, Zeng X, Huang J, Chang K, Xun X, Zhang C, Sollee J, Wu J, Dalal DJ, Feng X, Zhou H, Zhu C, Zou B, Jin K, Wen PY, Boxerman JL, Warren KE, Poussaint TY, States LJ, Kalpathy-Cramer J, Yang L, Huang RY, Bai HX. Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Neuro Oncol. 2022 02 01; 24(2):289-299.
Score: 0.128
-
Chang K, Beers AL, Bai HX, Brown JM, Ly KI, Li X, Senders JT, Kavouridis VK, Boaro A, Su C, Bi WL, Rapalino O, Liao W, Shen Q, Zhou H, Xiao B, Wang Y, Zhang PJ, Pinho MC, Wen PY, Batchelor TT, Boxerman JL, Arnaout O, Rosen BR, Gerstner ER, Yang L, Huang RY, Kalpathy-Cramer J. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. 2019 11 04; 21(11):1412-1422.
Score: 0.110
-
Chang K, Bai HX, Zhou H, Su C, Bi WL, Agbodza E, Kavouridis VK, Senders JT, Boaro A, Beers A, Zhang B, Capellini A, Liao W, Shen Q, Li X, Xiao B, Cryan J, Ramkissoon S, Ramkissoon L, Ligon K, Wen PY, Bindra RS, Woo J, Arnaout O, Gerstner ER, Zhang PJ, Rosen BR, Yang L, Huang RY, Kalpathy-Cramer J. Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res. 2018 03 01; 24(5):1073-1081.
Score: 0.096
-
Li Y, Zou B, Dai P, Liao M, Bai HX, Jiao Z. AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. IEEE J Biomed Health Inform. 2023 08; 27(8):4052-4061.
Score: 0.036
-
Zhao LM, Zhang H, Kim DD, Ghimire K, Hu R, Kargilis DC, Tang L, Meng S, Chen Q, Liao WH, Bai H, Jiao Z, Feng X. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. Phys Med Biol. 2023 04 25; 68(9).
Score: 0.035
-
Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith JL, Yang L, Liao WH, Merck LH, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. J Digit Imaging. 2021 12; 34(6):1405-1413.
Score: 0.032
|
Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
|