9 Einträge gefunden

1. Using deep learning to identifyf acute subarachnoid hemorrhage in post mortem computed tomography (PMCT) from different planes: A preliminary study

   1. Garland, Jack
   2. O'Connor, Kate
   3. Milne, David
   4. Hu, MIndy
   5. Kesha, Kilak
   6. Glenn, Charley
   7. Morrow, Paul

   2022 - Forschungsinformationssystem des UKE
2. The effects of drying the rinsed dissected heart on postmortem heart weight

   1. Garland, Jack
   2. Kesha, Kilak
   3. Glenn, Charley
   4. Morrow, Paul
   5. Stables, Simon
   6. Ondruschka, Benjamin
   7. Lohner, Larissa

   2022 - Forschungsinformationssystem des UKE
3. Heart weight is an independent factor associated with, but is a poor predictor for, sudden cardiac death

   1. Garland, Jack
   2. Kesha, Kilak
   3. Glenn, Charley
   4. Stables, Simon
   5. Ondruschka, Benjamin
   6. Lohner, Larissa
   7. Tse, Rexson

   2022 - Forschungsinformationssystem des UKE
4. Use of vitreous humor electrolytes in estimating postmortem interval in infant population (<1 year)

   1. Ioelu, Leillani
   2. Garland, Jack
   3. Palmiere, Cristian
   4. Ondruschka, Benjamin
   5. Da Broi, Ugo
   6. Glenn, Charley
   7. Kesha, Kilak

   2022 - Forschungsinformationssystem des UKE
5. Identifying gross post-mortem organ images using a pre-trained convolutional neural network

   1. Garland, Jack
   2. Hu, Mindy
   3. Kesha, Kilak
   4. Glenn, Charley
   5. Morrow, Paul
   6. Stables, Simon
   7. Ondruschka, Benjamin

   2021 - Forschungsinformationssystem des UKE
6. Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks

   1. Garland, Jack
   2. Hu, Mindy
   3. Duffy, Michael
   4. Kesha, Kilak
   5. Glenn, Charley
   6. Morrow, Paul
   7. Stables, Simon

   2021 - Forschungsinformationssystem des UKE
7. Differences Between Central and Peripheral Postmortem Tryptase Levels

   1. Garland, Jack
   2. Ondruschka, Benjamin
   3. Da Broi, Ugo
   4. Palmiere, Cristian
   5. Glenn, Charley
   6. Morrow, Paul
   7. Kesha, Kilak

   2021 - Forschungsinformationssystem des UKE
8. Levels of haemolysis have no effect on femoral vein post-mortem tryptase levels

   1. Garland, Jack
   2. Ondruschka, Benjamin
   3. Da Broi, Ugo
   4. Palmiere, Cristian
   5. Glenn, Charley
   6. Morrow, Paul
   7. Kesha, Kilak

   2021 - Forschungsinformationssystem des UKE
9. Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning:A Feasibility Study

   1. Garland, Jack
   2. Ondruschka, Benjamin
   3. Stables, Simon
   4. Morrow, Paul
   5. Kesha, Kilak
   6. Glenn, Charley
   7. Tse, Rexson

   2020 - Forschungsinformationssystem des UKE