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NMR in Biomedicine|January 28, 2022
Metabolite selection for machine learning in childhood brain tumour classificationDadi Zhao, James T Grist, Heather E L Rose, et al.
Obesity Surgery|August 24, 2020
Obesity and Metabolic Surgery Society of India (OSSI) Recommendations for Bariatric and Metabolic Surgery Practice During the COVID-19 PandemicSandeep Aggarwal, Kamal Mahawar, Manish Khaitan, et al.
The Journal of Physical Chemistry. A|December 22, 2025
X-ray Coherent Diffractive Imaging of Large Helium Nanodroplets Doped with Small MoleculesAlexandra J Feinberg, Amandeep Singh, Catherine A Saladrigas, et al.
Clinical Journal of the American Society of Nephrology : CJASN|January 26, 2013
Simultaneous sequencing of 24 genes associated with steroid-resistant nephrotic syndromeHugh J McCarthy, Agnieszka Bierzynska, Matt Wherlock, et al.
Science Advances|December 10, 2021
Aggregation of solutes in bosonic versus fermionic quantum fluidsAlexandra J Feinberg, Deepak Verma, Sean M O O'Connell-Lopez, et al.
The Lancet. Oncology|July 28, 2022
Response assessment in paediatric intracranial ependymoma: recommendations from the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working groupHolly B Lindsay, Maura Massimino, Shivaram Avula, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 15, 2023
Association of Molecular Subtypes with Pathologic Response, PFS, and OS in a Phase II Study of COXEN with Neoadjuvant Chemotherapy for Muscle-invasive Bladder CancerSeth P Lerner, David J McConkey, Catherine M Tangen, et al.
European Urology|July 6, 2023
Long-term Outcomes from a Phase 2 Study of Neoadjuvant Chemotherapy for Muscle-invasive Bladder Cancer (SWOG S1314; NCT02177695)Thomas W Flaig, Catherine M Tangen, Siamak Daneshmand, et al.
The Journal of Urology|December 20, 2018
Multiparametric Magnetic Resonance Imaging Features Identify Aggressive Prostate Cancer at the Phenotypic and Transcriptomic LevelAlp Tuna Beksac, Shivaram Cumarasamy, Ugo Falagario, et al.
Journal of Imaging|January 27, 2026
Empirical Mode Decomposition-Based Deep Learning Model Development for Medical Imaging: Feasibility Study for Gastrointestinal Endoscopic Image ClassificationMou Deb, Mrinal Kanti Dhar, Poonguzhali Elangovan, et al.
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