 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Harrison Bai and Ihab Kamel.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.950 |
|
|
|
-
Zhong Z, Wang Y, Wu J, Hsu WC, Somasundaram V, Bi L, Kulkarni S, Ma Z, Collins S, Baird G, Ahn SH, Feng X, Kamel I, Lin CT, Greineder C, Atalay M, Jiao Z, Bai H. Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. NPJ Digit Med. 2025 Jul 12; 8(1):432.
Score: 0.238
-
Kim CK, Choi JW, Jiao Z, Wang D, Wu J, Yi TY, Halsey KC, Eweje F, Tran TML, Liu C, Wang R, Sollee J, Hsieh C, Chang K, Yang FX, Singh R, Ou JL, Huang RY, Feng C, Feldman MD, Liu T, Gong JS, Lu S, Eickhoff C, Feng X, Kamel I, Sebro R, Atalay MK, Healey T, Fan Y, Liao WH, Wang J, Bai HX. An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. NPJ Digit Med. 2022 Jan 14; 5(1):5.
Score: 0.187
-
Eweje FR, Byun S, Chandra R, Hu F, Kamel I, Zhang P, Jiao Z, Bai HX. Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence. JAMA Netw Open. 2022 01 04; 5(1):e2144742.
Score: 0.186
-
Thomasian NM, Kamel IR, Bai HX. Machine intelligence in non-invasive endocrine cancer diagnostics. Nat Rev Endocrinol. 2022 02; 18(2):81-95.
Score: 0.184
-
Zhong Z, Wang Y, Bi L, Ma Z, Ahn SH, Mullin CJ, Greineder CF, Atalay MK, Collins S, Baird GL, Lin CT, Stayman JW, Kolb TM, Kamel I, Bai HX, Jiao Z. Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Med Image Anal. 2026 Jan; 107(Pt A):103786.
Score: 0.060
-
Cheng J, Sollee J, Hsieh C, Yue H, Vandal N, Shanahan J, Choi JW, Tran TML, Halsey K, Iheanacho F, Warren J, Ahmed A, Eickhoff C, Feldman M, Barbosa EM, Kamel I, Lin CT, Yi T, Healey T, Zhang P, Wu J, Atalay M, Bai HX, Jiao Z, Wang J. Correction to: COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data. Eur Radiol. 2022 Jul; 32(7):5034.
Score: 0.048
-
Cheng J, Sollee J, Hsieh C, Yue H, Vandal N, Shanahan J, Choi JW, Tran TML, Halsey K, Iheanacho F, Warren J, Ahmed A, Eickhoff C, Feldman M, Mortani Barbosa E, Kamel I, Lin CT, Yi T, Healey T, Zhang P, Wu J, Atalay M, Bai HX, Jiao Z, Wang J. COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data. Eur Radiol. 2022 Jul; 32(7):4446-4456.
Score: 0.047
|
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.
|