perny73

Per Nyman

Ongoing PhD project where I am studying new magnetic resonance imaging biomarkers for pediatric brain tumors.

Presentation

In my research I am studying new magnetic resonance imaging biomarkers for pediatric brain tumors. I am also investigating the application of AI in digital pathology and imaging as well as mapping of genetic and epigenetic predisposition to cancer.

I am Senior Consultant in Paediatric Oncology. Head of pediatric neuroonocolgy in the Southeast Healthcare Region.


About me

CV

  • 2021 PhD Student Medical Radiophysics, Linköping University and Center for Medical Image Science and Visualization (CMIV) Research School
  • 2019 Specialist in Pediatric Oncology and Hematology, Linköping University Hospital: 2019 August 30
  • 2015 Specialist in Pediatrics, Linköping University Hospital: 2015 May 21
  • 2009 Doctor of Medicine, Linköping University Hospital /Motala Hospital: 2009 June 26
  • 2007 Bachelor of medicine and surgery, Lund University, Sweden: 2007 June 8

Education

Teaches pediatric oncology at the Medical Program, K10, LiU

Network

  • Swedish Society of Medicine
  • Nordic Society of Pediatric Hematology and Oncology (NOPHO)
  • VCTB, Working group on CNS tumors in children, Sweden
  • NOPHO Brain tumor group
  • The European Society for Paediatric Oncology, SIOPe Craniopharyngioma Working Group
  • Member of the steering group of the Swedish Childhood Tumor Biobank (Barntumörbanken, BTB)
  • Member of the Nomination Committee for the Swedish Childhood Cancer Fund (Barncancerfonden) priority committees
  • Member of NB CNS (Network for Neuroblastoma and CNS Tumor Research in Children) steering group

Publications

2024

Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2024) Pediatric brain tumor classification using deep learning on MR-images with age fusion Neuro-Oncology Advances (Article in journal) Continue to DOI
Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini (2024) Early fusion of H&E and IHC histology images for pediatric brain tumor classification Proceedings of Machine Learning Research, p. 192-202 (Conference paper)
Ayse Bahar Ercan, Melyssa Aronson, Nicholas R. Fernandez, Yuan Chang, Adrian Levine, Zhihui Amy Liu, Logine Negm, Melissa Edwards, Vanessa Bianchi, Lucie Stengs, Jiil Chung, Abeer Al-Battashi, Agnes Reschke, Alex Lion, Alia Ahmad, Alvaro Lassaletta, Alyssa T. Reddy, Amir F. Al-Darraji, Amish C. Shah, An Van Damme, Anne Bendel, Aqeela Rashid, Ashley S. Margol, Bethany L. Kelly, Bojana Pencheva, Brandie Heald, Brianna Lemieux-Anglin, Bruce Crooks, Carl Koschmann, Catherine Gilpin, Christopher C. Porter, David Gass, David Samuel, David S. Ziegler, Deborah T. Blumenthal, Dennis John Kuo, Dima Hamideh, Donald Basel, Dong-Anh Khuong-Quang, Duncan Stearns, Enrico Opocher, Fernando Carceller, Hagit Baris Feldman, Helen Toledano, Ira Winer, Isabelle Scheers, Ivana Fedorakova, Jack M. Su, Jaime Vengoechea, Jaroslav Sterba, Jeffrey Knipstein, Jordan R. Hansford, Julieta Rita Gonzales-Santos, Kanika Bhatia, Kevin J. Bielamowicz, Khurram Minhas, Kim E. Nichols, Kristina A. Cole, Lynette Penney, Magnus Aasved Hjort, Magnus Sabel, Maria Joao Gil-da-Costa, Matthew J. Murray, Matthew Miller, Maude L. Blundell, Maura Massimino, Maysa Al-Hussaini, Mazin F. Al-Jadiry, Melanie A. Comito, Michael Osborn, Michael P. Link, Michal Zapotocky, Mithra Ghalibafian, Najma Shaheen, Naureen Mushtaq, Nicolas Waespe, Nobuko Hijiya, Noemi Fuentes-Bolanos, Olfat Ahmad, Omar Chamdine, Paromita Roy, Pavel N. Pichurin, Per Nyman, Rachel Pearlman, Rebecca C. Auer, Reghu K. Sukumaran, Rejin Kebudi, Rina Dvir, Robert Raphael, Ronit Elhasid, Rose B. McGee, Rose Chami, Ryan Noss, Ryuma Tanaka, Salmo Raskin, Santanu Sen, Scott Lindhorst, Sebastien Perreault, Shani Caspi, Shazia Riaz, Shlomi Constantini, Sophie Albert, Stanley Chaleff, Stefan Bielack, Stefano Chiaravalli, Stuart Louis Cramer, Sumita Roy, Suzanne Cahn, Suzanne Penna, Syed Ahmer Hamid, Tariq Ghafoor, Uzma Imam, Valerie Larouche, Vanan Magimairajan Issai, William D. Foulkes, Yi Yen Lee, Paul C. Nathan, Yosef E. Maruvka, Mary-Louise C. Greer, Carol Durno, Adam Shlien, Birgit Ertl-Wagner, Anita Villani, David Malkin, Cynthia Hawkins, Eric Bouffet, Anirban Das, Uri Tabori (2024) Clinical and biological landscape of constitutional mismatch-repair deficiency syndrome: an International Replication Repair Deficiency Consortium cohort study The Lancet Oncology, Vol. 25, p. 668-682 (Article in journal) Continue to DOI
Bianca Tesi, Kristina Lagerstedt Robinson, Frida Abel, Teresita Diaz de Stahl, Sara Orrsjoe, Anna Poluha, Maria Hellberg, Sandra Wessman, Sofie Samuelsson, Tony Frisk, Hartmut Vogt, Karin Henning, Magnus Sabel, Torben Ek, Niklas Pal, Per Nyman, Geraldine Giraud, Joakim Wille, Cornelis Jan Pronk, Ulrika Noren-Nystroem, Magnus Borssen, Maria Fili, Gustav Stalhammar, Nikolas Herold, Giorgio Tettamanti, Carolina Maya-Gonzalez, Linda Arvidsson, Anna Rosen, Katja Ekholm, Ekaterina Kuchinskaya, Anna-Lotta Hallbeck, Margareta Nordling, Pia Palmebäck, Per Kogner, Gunilla Kanter Smoler, Paeivi Laehteenmaeki, Susanne Fransso, Tommy Martinsson, Alia Shamik, Fredrik Mertens, Richard Rosenquist, Valtteri Wirta, Emma Tham, Pernilla Grillner, Johanna Sandgren, Gustaf Ljungman, David Gisselsson, Fulya Taylan, Ann Nordgren (2024) Diagnostic yield and clinical impact of germline sequencing in children with CNS and extracranial solid tumors - a nationwide, prospective Swedish study The Lancet Regional Health: Europe, Vol. 39, Article 100881 (Article in journal) Continue to DOI
Olha Krynina, Teresita Diaz de Stahl, Cecilia Jylhae, Cecilia Arthur, Geraldine Giraud, Per Nyman, Anders Fritzberg, Johanna Sandgren, Emma Tham, Ulrika Sandvik (2024) The potential of liquid biopsy for detection of the KIAA1549-BRAF fusion in circulating tumor DNA from children with pilocytic astrocytoma Neuro-Oncology Advances, Vol. 6, Article vdae008 (Article in journal) Continue to DOI

Research

Brain Tumours in Children (BAQA; BAQA-18) (Novel imaging biomarkers for magnetic resonance of brain tumours);
Application of AI in Digital pathology and Imaging;
OncoABIS: Mapping genetic and epigenetic predisposition to cancer

Coworkers

Organisation