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Deep Hathi
Deep Hathi
Machine Learning Scientist at Regeneron
Verified email at regeneron.com
Title
Cited by
Cited by
Year
68Ga FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer
DK Hathi, EF Jones
Radiology: Imaging Cancer 1 (1), e194003, 2019
262019
Evaluation of primary breast cancers using dedicated breast PET and whole-body PET
DK Hathi, W Li, Y Seo, RR Flavell, J Kornak, BL Franc, BN Joe, ...
Scientific Reports 10 (1), 21930, 2020
152020
Current landscape of breast cancer imaging and potential quantitative imaging markers of response in ER-positive breast cancers treated with neoadjuvant therapy
EF Jones, DK Hathi, R Freimanis, RA Mukhtar, AJ Chien, LJ Esserman, ...
Cancers 12 (6), 1511, 2020
152020
Ablation of VLA4 in multiple myeloma cells redirects tumor spread and prolongs survival
D Hathi, C Chanswangphuwana, N Cho, F Fontana, D Maji, J Ritchey, ...
Scientific reports 12 (1), 30, 2022
142022
Chronic intermittent hypoxia enhances disease progression in myeloma-resistant mice
M Ali, S Kowkuntla, DJ Delloro, C Galambos, D Hathi, S Janz, M Shokeen, ...
American Journal of Physiology-Regulatory, Integrative and Comparative …, 2019
132019
Evaluating acetate metabolism for imaging and targeting in multiple myeloma
F Fontana, X Ge, X Su, D Hathi, J Xiang, S Cenci, R Civitelli, KI Shoghi, ...
Clinical Cancer Research 23 (2), 416-429, 2017
132017
Enhancing in vivo tumor boundary delineation with structured illumination fluorescence molecular imaging and spatial gradient mapping
J Sun, JP Miller, D Hathi, H Zhou, S Achilefu, M Shokeen, WJ Akers
Journal of biomedical optics 21 (8), 080502-080502, 2016
112016
Ex vivo evaluation of VLA-4 expression in primary human multiple myeloma bone marrow samples and in vivo mobilization of murine multiple myeloma cells with small molecule VLA-4 …
C Chanswangphuwana, MP Rettig, W Akers, D Hathi, M Holt, J O'Neal, ...
Blood 128 (22), 2056, 2016
62016
Imaging melphalan therapy response in preclinical extramedullary multiple myeloma with 18F-FDOPA and 18F-FDG PET
DK Hathi, EN DeLassus, S Achilefu, J McConathy, M Shokeen
Journal of Nuclear Medicine 59 (10), 1551-1557, 2018
32018
Enhancing contrast and quantitation by spatial frequency domain fluorescence molecular imaging
J Sun, D Hathi, H Zhou, M Shokeen, WJ Akers
Optical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics 9715 …, 2016
32016
Longitudinal preclinical magnetic resonance imaging of diffuse tumor burden in intramedullary myeloma following bortezomib therapy
DK Hathi, JA Engelbach, J Hillengass, D Veis, S Achilefu, JR Garbow, ...
NMR in Biomedicine 32 (9), e4122, 2019
12019
Noninvasive imaging of multiple myeloma using near infrared fluorescent molecular probe
D Hathi, H Zhou, A Bollerman-Nowlis, M Shokeen, WJ Akers
Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical …, 2016
12016
18F-FDG Dedicated Breast PET Complementary to Breast MRI for Evaluating Early Response to Neoadjuvant Chemotherapy
D Diwanji, N Onishi, DK Hathi, C Lawhn-Heath, J Kornak, W Li, R Guo, ...
Radiology: Imaging Cancer 6 (2), e230082, 2024
2024
Predicting progression-free survival (PFS) in first-line (1L) immune checkpoint inhibitor (ICI)-treated patients (pts) with advanced non-small cell lung cancer (aNSCLC …
DK Hathi, J Harnett, N Wu, Z Xu, W Pan, TG Hager, RG Quek, S Aggarwal, ...
Cancer Research 84 (6_Supplement), 4967-4967, 2024
2024
Assessment of electronic health record (EHR)–based machine learning (ML) in predicting risk of brain metastasis among patients with early-stage non–small-cell lung cancer (eNSCLC).
H Honarvar, DK Hathi, RB Parikh, RK Das
Journal of Clinical Oncology 41 (16_suppl), 2036-2036, 2023
2023
Electronic health record (EHR) and genomics-based machine learning (ML) to predict therapeutic effectiveness among patients with hormone-receptor positive (HR)+/HER2-advanced …
DK Hathi, S Pisano, H Honarvar, RB Parikh, RK Das
Journal of Clinical Oncology 41 (16_suppl), e13574-e13574, 2023
2023
Machine learning (ML) on real-world data (RWD) of front-line (1L) metastatic castration resistance prostate cancer (mCRPC) patients for dynamic prediction of time to tx …
P Jain, DK Hathi, H Honarvar, RK Das
Cancer Research 83 (7_Supplement), 4400-4400, 2023
2023
Machine learning (ML) model for prediction of pneumonitis using real-world data (RWD) on immune checkpoint inhibitor (ICI)-treated advanced non-small cell lung cancer (aNSCLC)
DK Hathi, H Hall, J Mueller, MH Cai, Y Liu, A Liede, RK Das
Cancer Research 83 (7_Supplement), 851-851, 2023
2023
Machine learning modeling of real-world primary resistance and hyperprogression in immune checkpoint inhibitor (ICI) treated advanced non-small cell lung cancer (aNSCLC) patients.
RK Das, DK Hathi
Journal of Clinical Oncology 40 (16_suppl), e21127-e21127, 2022
2022
Abstract P3-02-02: FES-dedicated breast PET uptake in early-stage ER+ breast cancers
EF Jones, DK Hathi, J Molina-Vega, DC Newitt, C Lawhn-Heath, KM Ray, ...
Cancer Research 82 (4_Supplement), P3-02-02-P3-02-02, 2022
2022
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