BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Copenhagen BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260129T120122Z UID:A2E312AA-3C68-4D4A-A057-78E07DA33AE1 DTSTART;TZID=Europe/Copenhagen:20260126T130000 DTEND;TZID=Europe/Copenhagen:20260126T150000 DESCRIPTION:We are pleased to inform you that on January 26th\, 13:15–15: 00\, at the University of Stavanger\, we will host a workshop on “Advanc ed Signal/Image Processing”\, featuring: larger than memory image proces sing and bio sensing. The tentative program is as follows:\n\n13:15–13:3 0 – Gathering and welcome\n13:30–14:00 – Larger-than-Memory Image Pr ocessing\, Prof. Jon Sporring\n(Department of Computer Science\, Universit y of Copenhagen\, Denmark)\n14:00–14:15 – Coffee break\n14:15–14:45 – Non-Contact and Contact SpO₂ Measurement Methods for Newborn Resusci tation\,\nAssociate Prof. Øyvind Meinich-Bache\n(Laerdal Medical and Depa rtment of Electrical Engineering and Computer Science\, University of Stav anger)\n\nPlace: University of Stavanger\, Kjølv Egelands Hus\, room: Dat averkstedet\n\nThe event will be held in a hybrid format\, and you can joi n online using Teams:\nMicrosoft Teams meeting\nJoin: https://teams.micros oft.com/meet/31631175440466?p=1GFeKqdcBaQSM22j5T\nMeeting ID: 316 311 754 404 66\nPasscode: Gv2fh6Jt\n\nMore info on the talks and speakers:\n\nFirs t Talk: Larger than memory image processing\n\nAuthors: Jon Sporring\, Uni versity of Copenhagen\, and David Stansby\, University College London\n\nA bstract: This report addresses larger-than-memory image analysis for petas cale datasets such as 1.4 PB electron-microscopy volumes and 150 TB human- organ atlases. We argue that performance is fundamentally I/O-bound rather than compute-bound. We show that structuring analysis as streaming passes over data is crucial: for 3D volumes\, representing data as 2D slice stac ks (e.g.\, directories or multipage TIFF) outperforms 3D chunked layouts ( e.g.\, Zarr/HDF5) because most algorithms can be organized to read each vo xel once or only a few times\, avoiding repeated neighbor reads and halo a mplification. We formalize this with sweep-based execution (natural 2D/3D orders)\, windowed operations\, and overlap-aware tiling to minimize redun dant access. Building on these principles\, we introduce a domain-specific language (DSL) that encodes algorithms with intrinsic knowledge of their optimal streaming and memory use\; the DSL performs compile-time and run-t ime pipeline analyses to automatically select window sizes\, fuse stages\, tee and zip streams\, and schedule passes for limited-RAM machines\, yiel ding near-linear I/O scans and predictable memory footprints. The approach integrates with existing tooling for segmentation and morphology but refr ames pre/post-processing as pipelines that privilege sequential read/write patterns\, delivering substantial throughput gains for extremely large im ages without requiring full-volume residency in memory.\n\nBio: Jon Sporri ng received his Master and Ph.D. degree from the Department of Computer Sc ience (DIKU)\, University of Copenhagen\, Denmark in 1995 and 1998\, respe ctively. Part of his Ph.D. program was carried out at IBM Research Center\ , Almaden\, California\, USA. Following his Ph.D\, he worked as a visiting researcher at the Computer Vision and Robotics Lab at Foundation for Rese arch & Technology - Hellas\, Greece\, and as an assistant research profess or at 3D-Lab\, School of Dentistry\, University of Copenhagen. During 2003 -2018 he was an associate professor at DIKU. From 2008-2009 he was a part- time Senior Researcher at Nordic Bioscience a/s. In the period 2012-13\, h e is a visiting professor at the School of Computer Science\, McGill Unive rsity\, Montreal\, Canada. Jon Sporring also co-founded DigiCorpus Aps in 2012 and served as Chief research officer of the company from 2012-16 deve loping computer vision-based systems for automatic feedback for physiother apeutic rehabilitation. In 2007-2012\, 2015-2019\, and 2021 he was Deputy head for Research at DIKU. Since 2018\, he is a full professor at DIKU\, a nd since 2019 he is the Deputy head of the Center for Quantifying Images f or MAXIV (QIM).\n\nSecond Talk: Non-Contact and Contact SpO₂ Measurement Methods for Newborn Resuscitation\n\nAbstract: Laerdal Medical is develop ing a sensor/product to assess SpO₂ during the critical first minutes af ter birth. Currently\, the standard of care—measurement on the newborn w rist—fails to provide healthcare providers with reliable SpO₂ readings during resuscitation. This limitation may be attributed to poor periphera l perfusion in the wrists of non-breathing infants\, necessitating explora tion of alternative measurement sites. The measurement principle relies on differential light transmission and absorption by tissue across various w avelengths\, which varies with oxygen saturation levels. Both non-contact approaches (using multispectral camera technology) and contact-based metho ds (utilizing smartwatch-style sensors) are being investigated to identify optimal solutions for this clinical challenge.\n\nBio: Øyvind Meinich-Ba che received his PhD in image processing and deep learning (2020). Senior Data Scientist at Laerdal Medical and Associate Professor II at University of Stavanger (2020-current). Specializes in automatic activity recognitio n from signals\, particularly images and video\, with focus on emergency r esponse applications.\n\nRoom: DataVerkstedet\, Bldg: Kjølv Egelands Hus\ , University of Stavanger\, Stavanger\, Rogaland\, Norway LOCATION:Room: DataVerkstedet\, Bldg: Kjølv Egelands Hus\, University of S tavanger\, Stavanger\, Rogaland\, Norway ORGANIZER:mahdieh.khanmohammadi@uis.no SEQUENCE:63 SUMMARY:Nordic IEEE SPS workshop on Advanced Signal/Image Processing: Large r Than Memory Images to Biomedical Sensing URL;VALUE=URI:https://events.vtools.ieee.org/m/521853 X-ALT-DESC:Description: <br /><p data-start="153" data-end="334">We are ple ased to inform you that on <strong data-start="190" data-end="219">January 26th\,&nbsp\;<strong>13:15&ndash\;15:00</strong></strong>\, at the <stron g data-start="228" data-end="255">University of Stavanger</strong>\, we wi ll host a workshop on <strong data-start="284" data-end="322">&ldquo\;Adva nced Signal/Image Processing&rdquo\;</strong>\, featuring: larger than mem ory image processing and bio sensing. The tentative program is as follows: &nbsp\;</p>\n<p data-start="336" data-end="800"><strong data-start="336" d ata-end="351">13:15&ndash\;13:30</strong>&nbsp\;&ndash\; Gathering and wel come<br data-start="375" data-end="378"><strong data-start="378" data-end= "393">13:30&ndash\;14:00</strong>&nbsp\;&ndash\; <em data-start="396" data -end="433">Larger-than-Memory Image Processing</em>\, Prof. Jon Sporring<b r data-start="453" data-end="456">(Department of Computer Science\, Univer sity of Copenhagen\, Denmark)<br data-start="523" data-end="526"><strong d ata-start="526" data-end="541">14:00<strong data-start="559" data-end="574 ">&ndash\;14:15 </strong></strong>&ndash\; Coffee break<br data-start="556 " data-end="559"><strong data-start="559" data-end="574">14:15&ndash\;14:4 5</strong> &ndash\; <em data-start="577" data-end="653">Non-Contact and Co ntact SpO₂ Measurement Methods for Newborn Resuscitation</em>\,<br data- start="654" data-end="657">Associate Prof. &Oslash\;yvind Meinich-Bache<br data-start="693" data-end="696">(Laerdal Medical and Department of Electr ical Engineering and Computer Science\, University of Stavanger)</p>\n<p d ata-start="802" data-end="878"><strong data-start="802" data-end="812">Pla ce:</strong> University of Stavanger\, Kj&oslash\;lv Egelands Hus\, room: <strong>Dataverkstedet</strong></p>\n<p data-start="880" data-end="1013">T he event will be held in a <strong data-start="908" data-end="925">hybrid format</strong>\, and you can join online using Teams:&nbsp\;</p>\n<div><s pan class="me-email-text">Microsoft Teams meeting</span></div>\n<div><span class="me-email-text">Join: </span><a id="meet_invite_block.action.join_l ink" class="me-email-link" title="https://teams.microsoft.com/meet/3163117 5440466?p=1GFeKqdcBaQSM22j5T" href="https://teams.microsoft.com/meet/31631 175440466?p=1GFeKqdcBaQSM22j5T" data-auth="NotApplicable" aria-label="Meet ing join" data-outlook-id="b6ed74a0-44c8-4fe4-ba6d-eb77f876fc03">https://t eams.microsoft.com/meet/31631175440466?p=1GFeKqdcBaQSM22j5T</a></div>\n<di v><span class="me-email-text-secondary">Meeting ID: </span><span class="me -email-text">316 311 754 404 66</span></div>\n<div><span class="me-email-t ext-secondary">Passcode: </span><span class="me-email-text">Gv2fh6Jt</span ></div>\n<div>&nbsp\;</div>\n<p>More info on the talks and speakers:</p>\n <p class="MsoNormal"><strong>First Talk:</strong> Larger than memory image processing</p>\n<p class="MsoNormal">Authors: <span class="outlook-search -highlight" data-markjs="true">Jon</span> <span class="outlook-search-high light" data-markjs="true">Sporring</span>\, University of Copenhagen\, and &nbsp\;David Stansby\, University College London</p>\n<p class="MsoNormal "><strong>Abstract:</strong> This report addresses larger-than-memory imag e analysis for petascale datasets such as 1.4 PB electron-microscopy volum es and 150 TB human-organ atlases. We argue that performance is fundamenta lly I/O-bound rather than compute-bound. We show that structuring analysis as streaming passes over data is crucial: for 3D volumes\, representing d ata as 2D slice stacks (e.g.\, directories or multipage TIFF) outperforms 3D chunked layouts (e.g.\, Zarr/HDF5) because most algorithms can be organ ized to read each voxel once or only a few times\, avoiding repeated neigh bor reads and halo amplification.&nbsp\; We formalize this with sweep-base d execution (natural 2D/3D orders)\, windowed operations\, and overlap-awa re tiling to minimize redundant access.&nbsp\; Building on these principle s\, we introduce a domain-specific language (DSL) that encodes algorithms with intrinsic knowledge of their optimal streaming and memory use\; the D SL performs compile-time and run-time pipeline analyses to automatically s elect window sizes\, fuse stages\, tee and zip streams\, and schedule pass es for limited-RAM machines\, yielding near-linear I/O scans and predictab le memory footprints.&nbsp\; The approach integrates with existing tooling for segmentation and morphology but reframes pre/post-processing as pipel ines that privilege sequential read/write patterns\, delivering substantia l throughput gains for extremely large images without requiring full-volum e residency in memory.</p>\n<p><span class="outlook-search-highlight" data -markjs="true"><strong>Bio:</strong> Jon</span> <span class="outlook-searc h-highlight" data-markjs="true">Sporring</span> received his Master and Ph .D. degree from the Department of Computer Science (DIKU)\, University of Copenhagen\, Denmark in 1995 and 1998\, respectively. Part of his Ph.D. pr ogram was carried out at IBM Research Center\, Almaden\, California\, USA. Following his Ph.D\, he worked as a visiting researcher at the Computer V ision and Robotics Lab at Foundation for Research &amp\; Technology - Hell as\, Greece\, and as an assistant research professor at 3D-Lab\, School of Dentistry\, University of Copenhagen. During 2003-2018 he was an associat e professor at DIKU. From 2008-2009 he was a part-time Senior Researcher a t Nordic Bioscience a/s. In the period 2012-13\, he is a visiting professo r at the School of Computer Science\, McGill University\, Montreal\, Canad a. <span class="outlook-search-highlight" data-markjs="true">Jon</span> <s pan class="outlook-search-highlight" data-markjs="true">Sporring</span> al so co-founded DigiCorpus Aps in 2012 and served as Chief research officer of the company from 2012-16 developing computer vision-based systems for a utomatic feedback for physiotherapeutic rehabilitation. In 2007-2012\, 201 5-2019\, and 2021 he was Deputy head for Research at DIKU. Since 2018\, he is a full professor at DIKU\, and since 2019 he is the Deputy head of the Center for Quantifying Images for MAXIV (QIM).</p>\n<p>&nbsp\;</p>\n<div> <strong>Second Talk: </strong>Non-Contact and Contact SpO₂ Measurement M ethods for Newborn Resuscitation</div>\n<div>&nbsp\;</div>\n<div><strong>A bstract:</strong>&nbsp\;Laerdal Medical is developing a sensor/product to assess SpO₂ during the critical first minutes after birth. Currently\, t he standard of care&mdash\;measurement on the newborn wrist&mdash\;fails t o provide healthcare providers with reliable SpO₂ readings during resusc itation. This limitation may be attributed to poor peripheral perfusion in the wrists of non-breathing infants\, necessitating exploration of altern ative measurement sites. The measurement principle relies on differential light transmission and absorption by tissue across various wavelengths\, w hich varies with oxygen saturation levels. Both non-contact approaches (us ing multispectral camera technology) and contact-based methods (utilizing smartwatch-style sensors) are being investigated to identify optimal solut ions for this clinical challenge.</div>\n<div>&nbsp\;</div>\n<div><strong> Bio:</strong> &Oslash\;yvind Meinich-Bache received his PhD in image proce ssing and deep learning (2020). Senior Data Scientist at Laerdal Medical a nd Associate Professor II at University of Stavanger (2020-current). Speci alizes in automatic activity recognition from signals\, particularly image s and video\, with focus on emergency response applications.</div>\n<div>& nbsp\;</div> END:VEVENT END:VCALENDAR