BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

335 related articles for article (PubMed ID: 32078476)

  • 1. Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage.
    Ironside N; Chen CJ; Mutasa S; Sim JL; Ding D; Marfatiah S; Roh D; Mukherjee S; Johnston KC; Southerland AM; Mayer SA; Lignelli A; Connolly ES
    Stroke; 2020 Mar; 51(3):815-823. PubMed ID: 32078476
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.
    Ironside N; Chen CJ; Mutasa S; Sim JL; Marfatia S; Roh D; Ding D; Mayer SA; Lignelli A; Connolly ES
    Stroke; 2019 Dec; 50(12):3416-3423. PubMed ID: 31735138
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.
    Dhar R; Falcone GJ; Chen Y; Hamzehloo A; Kirsch EP; Noche RB; Roth K; Acosta J; Ruiz A; Phuah CL; Woo D; Gill TM; Sheth KN; Lee JM
    Stroke; 2020 Feb; 51(2):648-651. PubMed ID: 31805845
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study.
    Ironside N; Patrie J; Ng S; Ding D; Rizvi T; Kumar JS; Mastorakos P; Hussein MZ; Naamani KE; Abbas R; Harrison Snyder M; Zhuang Y; Kearns KN; Doan KT; Shabo LM; Marfatiah S; Roh D; Lignelli-Dipple A; Claassen J; Worrall BB; Johnston KC; Jabbour P; Park MS; Sander Connolly E; Mukherjee S; Southerland AM; Chen CJ
    Clin Trials; 2022 Oct; 19(5):534-544. PubMed ID: 35786006
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Perihematomal edema surrounding spontaneous intracerebral hemorrhage by CT: Ellipsoidal versus morphometric volumetry.
    Shulman JG; Jara H; Qureshi MM; Lau H; Finn B; Abbas S; Cervantes-Arslanian AM; Mercado M; Greer D; Chapman M; Mian AZ; Takahashi CE
    Medicine (Baltimore); 2020 Jul; 99(28):e20951. PubMed ID: 32664097
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage.
    Ma D; Li C; Du T; Qiao L; Tang D; Ma Z; Shi L; Lu G; Meng Q; Chen Z; Grzegorzek M; Sun H
    Comput Biol Med; 2024 May; 173():108342. PubMed ID: 38522249
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema.
    Zhao X; Chen K; Wu G; Zhang G; Zhou X; Lv C; Wu S; Chen Y; Xie G; Yao Z
    Eur Radiol; 2021 Jul; 31(7):5012-5020. PubMed ID: 33409788
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Defining Delayed Perihematomal Edema Expansion in Intracerebral Hemorrhage: Segmentation, Time Course, Risk Factors and Clinical Outcome.
    Chen Y; Qin C; Chang J; Liu Y; Zhang Q; Ye Z; Li Z; Tian F; Ma W; Wei J; Feng M; Chen S; Yao J; Wang R
    Front Immunol; 2022; 13():911207. PubMed ID: 35615357
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Neutrophil-Lymphocyte Ratio and Perihematomal Edema Growth in Intracerebral Hemorrhage.
    Gusdon AM; Gialdini G; Kone G; Baradaran H; Merkler AE; Mangat HS; Navi BB; Iadecola C; Gupta A; Kamel H; Murthy SB
    Stroke; 2017 Sep; 48(9):2589-2592. PubMed ID: 28698256
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rate of Perihematomal Edema Expansion Predicts Outcome After Intracerebral Hemorrhage.
    Urday S; Beslow LA; Dai F; Zhang F; Battey TW; Vashkevich A; Ayres AM; Leasure AC; Selim MH; Simard JM; Rosand J; Kimberly WT; Sheth KN
    Crit Care Med; 2016 Apr; 44(4):790-7. PubMed ID: 26757167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Perihematomal Edema Is Greater in the Presence of a Spot Sign but Does Not Predict Intracerebral Hematoma Expansion.
    Rodriguez-Luna D; Stewart T; Dowlatshahi D; Kosior JC; Aviv RI; Molina CA; Silva Y; Dzialowski I; Lum C; Czlonkowska A; Boulanger JM; Kase CS; Gubitz G; Bhatia R; Padma V; Roy J; Subramaniam S; Hill MD; Demchuk AM;
    Stroke; 2016 Feb; 47(2):350-5. PubMed ID: 26696644
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage.
    Scherer M; Cordes J; Younsi A; Sahin YA; Götz M; Möhlenbruch M; Stock C; Bösel J; Unterberg A; Maier-Hein K; Orakcioglu B
    Stroke; 2016 Nov; 47(11):2776-2782. PubMed ID: 27703089
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset.
    Elsheikh S; Elbaz A; Rau A; Demerath T; Fung C; Kellner E; Urbach H; Reisert M
    Neuroradiology; 2024 Apr; 66(4):601-608. PubMed ID: 38367095
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Measurement of perihematomal edema in intracerebral hemorrhage.
    Urday S; Beslow LA; Goldstein DW; Vashkevich A; Ayres AM; Battey TW; Selim MH; Kimberly WT; Rosand J; Sheth KN
    Stroke; 2015 Apr; 46(4):1116-9. PubMed ID: 25721012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of Perihematomal Edema on Infectious Complications after Spontaneous Intracerebral Hemorrhage.
    Kashiwazaki D; Tomita T; Shibata T; Yamamoto S; Hori E; Akioka N; Kuwayama N; Nakatsuji Y; Noguchi K; Kuroda S
    J Stroke Cerebrovasc Dis; 2021 Jul; 30(7):105827. PubMed ID: 33932750
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.
    Chen Y; Qin C; Chang J; Lyu Y; Zhang Q; Ye Z; Li Z; Tian F; Ma W; Wei J; Feng M; Yao J; Wang R
    Eur Radiol; 2023 Jun; 33(6):4052-4062. PubMed ID: 36472694
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement.
    Wang T; Song N; Liu L; Zhu Z; Chen B; Yang W; Chen Z
    BMC Med Imaging; 2021 Aug; 21(1):125. PubMed ID: 34388981
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reduced Intracerebral Hemorrhage and Perihematomal Edema Volumes in Diabetics on Sulfonylureas.
    Irvine H; Male S; Robertson J; Bell C; Bentho O; Streib C
    Stroke; 2019 Apr; 50(4):995-998. PubMed ID: 30879436
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effect of Decompressive Craniectomy on Perihematomal Edema in Patients with Intracerebral Hemorrhage.
    Fung C; Murek M; Klinger-Gratz PP; Fiechter M; Z'Graggen WJ; Gautschi OP; El-Koussy M; Gralla J; Schaller K; Zbinden M; Arnold M; Fischer U; Mattle HP; Raabe A; Beck J
    PLoS One; 2016; 11(2):e0149169. PubMed ID: 26872068
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs.
    Chen Y; Dhar R; Heitsch L; Ford A; Fernandez-Cadenas I; Carrera C; Montaner J; Lin W; Shen D; An H; Lee JM
    Neuroimage Clin; 2016; 12():673-680. PubMed ID: 27761398
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.