Katherine Fischer

ORCID: 0000-0001-9386-6855
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About
Contact & Profiles
Research Areas
  • Urological Disorders and Treatments
  • Pediatric Urology and Nephrology Studies
  • Hernia repair and management
  • Transcranial Magnetic Stimulation Studies
  • Ureteral procedures and complications
  • Urinary Bladder and Prostate Research
  • Vestibular and auditory disorders
  • Advanced Neural Network Applications
  • Urinary and Genital Oncology Studies
  • Kidney Stones and Urolithiasis Treatments
  • Renal and Vascular Pathologies
  • Testicular diseases and treatments
  • Muscle activation and electromyography studies
  • Pelvic floor disorders treatments
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Artificial Intelligence in Healthcare and Education
  • Medical Image Segmentation Techniques
  • Sexual Differentiation and Disorders
  • Literacy, Media, and Education
  • Motor Control and Adaptation
  • Renal and related cancers
  • Pediatric Pain Management Techniques
  • Healthcare Policy and Management
  • Vascular anomalies and interventions

Children's Hospital of Philadelphia
2019-2025

University of Pennsylvania
2016-2024

Hospital of the University of Pennsylvania
2018-2024

University of Nevada, Las Vegas
2017-2023

Sandia National Laboratories California
2016

SUNY Downstate Health Sciences University
2015-2016

Spital Thurgau (Switzerland)
2014

Clarke (United States)
1996

Princeton University
1964

Southern Methodist University
1964

Abstract Background Kidney ultrasound (US) image segmentation is one of the key steps in computer‐aided diagnosis and treatment planning kidney diseases. Recently, deep learning (DL) technology has demonstrated promising prospects automatic US segmentation. However, due to poor quality, particularly weak boundaries imaging, obtaining accurate annotations for DL‐based methods remain a challenging time‐consuming task. This issue can hinder application data‐hungry methods. Purpose In this...

10.1002/mp.17663 article EN Medical Physics 2025-02-04

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that leads to numerous impairments in motor function compromise the ability perform activities of daily living. Practical and effective adjunct therapies are needed complement current treatment approaches PD. Transcranial direct stimulation applied cerebellum (c-tDCS) can increase skill young older adults. Because involved PD pathology, c-tDCS application during practice could potentially enhance The primary purpose was...

10.3390/biomedicines11082219 article EN cc-by Biomedicines 2023-08-08

No AccessJournal of UrologyPediatric Urology1 Dec 2022Multi-institutional Validation Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning ApproachesThis article is commented on by the following:Editorial Comment Adree Khondker, Jethro C. Kwong, Priyank Yadav, Justin Y. H. Chan, Anuradha Singh, Marta Skreta, Lauren Erdman, Daniel T. Keefe, Katherine Fischer, Gregory Tasian, Jessica Hannick, Frank Papanikolaou, Benjamin J. Cooper, Christopher S. Mandy Rickard, Armando...

10.1097/ju.0000000000002987 article EN The Journal of Urology 2022-10-10

Transcranial direct current stimulation of the cerebellum (c-tDCS) improves motor performance in young and old adults. Based on cerebellar involvement Parkinson's disease (PD), c-tDCS could have potential to improve function PD. The purpose was determine effects PD while participants were medications. study a randomized, double-blind, SHAM-controlled, between-subjects design. Twenty-two with allocated either group or SHAM group. All completed one experimental session performed two tasks...

10.3390/brainsci10100735 article EN cc-by Brain Sciences 2020-10-14

No AccessJournal of UrologyPediatric Urology1 Jul 2022Robot-Assisted Laparoscopic Ureterocalicostomy in the Setting Ureteropelvic Junction Obstruction: A Multi-Institutional Cohort Sameer Mittal, Aznive Aghababian, Sahar Eftekharzadeh, Sonam Saxena, Karmon Janssen, Alyssa Lombardo, Brittany Adamic, Lauren Dinardo, John Weaver, Katherine Fischer, Ciro Andolfi, Christopher Long, Dana Weiss, Andrew Kirsch, Arun Srinivasan, Mohan Gundeti, and Aseem R. Shukla MittalSameer Mittal Division Urology,...

10.1097/ju.0000000000002484 article EN The Journal of Urology 2022-02-21

10.1016/s8755-4615(96)90007-9 article EN Computers & composition/Computers and composition 1996-01-01

No AccessJournal of UrologyPerinatal Urology1 Apr 2016Renal Parenchymal Area Growth Curves for Children 0 to 10 Months Old Katherine Fischer, Chunming Li, Huixuan Wang, Yihua Song, Susan Furth, and Gregory E. Tasian FischerKatherine Fischer Division Urological Surgery, Department Perelman School Medicine, University Pennsylvania, Philadelphia, Pennsylvania direct or indirect commercial incentive associated with publishing this article. More articles by author , LiChunming Li Center...

10.1016/j.juro.2015.08.097 article EN The Journal of Urology 2016-02-28

Ultrasound images are widely used for diagnosis of congenital abnormalities the kidney and urinary tract (CAKUT). Since a typical clinical ultrasound image captures 2D information specific view plan same on different planes have varied appearances, it is challenging to develop computer aided tool robust in views. To overcome this problem, we multi-instance deep learning method distinguishing children with CAKUT from controls based their images, aiming automatic diagnose imaging data....

10.1109/isbi45749.2020.9098506 article EN 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2020-04-01
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