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Albert Jang

Explore the profile of Albert Jang including associated specialties, affiliations and a list of published articles. Areas
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Articles 58
Citations 739
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Recent Articles
1.
Jang A, Hobeika C, Gupta S
Kidney Cancer . 2025 Mar; 8(1):61-79. PMID: 40027140
Papillary renal cell carcinoma (pRCC) comprises 15-20% of all patients with renal cell carcinoma (RCC). Although in the localized setting where pRCC appears to have better outcomes than clear cell...
2.
Barnett R, Jang A, Lanka S, Fu P, Bucheit L, Babiker H, et al.
Commun Med (Lond) . 2024 Dec; 4(1):256. PMID: 39623081
Background: Breast and prostate tumors are known to be less responsive to immune checkpoint inhibitors (ICIs). Tissue-based tumor mutation burden (tTMB) has emerged as a predictive biomarker of response to...
3.
Bian W, Jang A, Liu F
Magn Reson Imaging . 2024 Nov; 116:110278. PMID: 39580007
Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquired with different imaging sequences is inherently challenging. The trained deep learning model typically lacks generalizability, and the...
4.
Jang A, He X, Liu F
Magn Reson Med . 2024 Oct; 93(2):657-672. PMID: 39385438
Purpose: To introduce a new method for generalized RF pulse design using physics-guided self-supervised learning (GPS), which uses the Bloch equations as the guiding physics model. Theory And Methods: The...
5.
Zhong J, Jang A, Garcia J, Avril N, Li Q, Wojtylak P, et al.
Adv Cancer Res . 2024 Sep; 164:311-358. PMID: 39306369
The optimal treatment of metastatic castration-resistant prostate cancer (mCRPC) continues to be challenging, given the multitude of life prolonging treatment options. Radionuclide therapy delivers concentrated doses of radiation via ionizing...
6.
Jang A, Liu F
Magn Reson Imaging . 2024 Sep; 114:110239. PMID: 39276808
Quantitative MRI utilizes multiple acquisitions with varying sequence parameters to sufficiently characterize a biophysical model of interest, resulting in undesirable scan times. Here we propose, validate and demonstrate a new...
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Bian W, Jang A, Zhang L, Yang X, Stewart Z, Liu F
IEEE Trans Med Imaging . 2024 Aug; PP. PMID: 39115985
This study introduces a novel image reconstruction technique based on a diffusion model that is conditioned on the native data domain. Our method is applied to multi-coil MRI and quantitative...
9.
Park J, Chu A, Li J, Ali A, McKay R, Hwang C, et al.
JCO Precis Oncol . 2024 Apr; 8:e2300567. PMID: 38579192
Purpose: There are limited data available on the real-world patterns of molecular testing in men with advanced prostate cancer. We thus sought to evaluate next-generation sequencing (NGS) testing in the...
10.
Bian W, Jang A, Liu F
Magn Reson Med . 2024 Feb; 92(1):98-111. PMID: 38342980
Purpose: This paper proposes a novel self-supervised learning framework that uses model reinforcement, REference-free LAtent map eXtraction with MOdel REinforcement (RELAX-MORE), for accelerated quantitative MRI (qMRI) reconstruction. The proposed method...