Search Results - "Eelbode, Tom"

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy by Sinonquel, Pieter, Eelbode, Tom, Bossuyt, Peter, Maes, Frederik, Bisschops, Raf

“…Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastrointestinal (GI) endoscopy, the field of colonoscopy and…”
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Who benefits from presurgical endoscopic diagnosis: the patient or the surgeon? by Hassan, Cesare, Eelbode, Tom, Bisschops, Raf

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Equivalence between low adenoma detection and high miss rates: Is AI the ultimate response? by Hassan, Cesare, Eelbode, Tom, Bisschops, Raf

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Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index by Eelbode, Tom, Bertels, Jeroen, Berman, Maxim, Vandermeulen, Dirk, Maes, Frederik, Bisschops, Raf, Blaschko, Matthew B.

“…In many medical imaging and classical computer vision tasks, the Dice score and Jaccard index are used to evaluate the segmentation performance. Despite the…”
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Pitfalls in training and validation of deep learning systems by Eelbode, Tom, Sinonquel, Pieter, Maes, Frederik, Bisschops, Raf

“…The number of publications in endoscopic journals that present deep learning applications has risen tremendously over the past years. Deep learning has shown…”
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Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density by Bossuyt, Peter, Nakase, Hiroshi, Vermeire, Séverine, de Hertogh, Gert, Eelbode, Tom, Ferrante, Marc, Hasegawa, Tadashi, Willekens, Hilde, Ikemoto, Yousuke, Makino, Takao, Bisschops, Raf

“…The objective evaluation of endoscopic disease activity is key in ulcerative colitis (UC). A composite of endoscopic and histological factors is the goal in UC…”
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Computer-Aided Diagnosis With Monochromatic Light Endoscopy for Scoring Histologic Remission in Ulcerative Colitis by Bossuyt, Peter, De Hertogh, Gert, Eelbode, Tom, Vermeire, Séverine, Bisschops, Raf

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A VOTING-BASED ENSEMBLE MODEL FOR IMPROVED AUTOMATED CLASSIFICATION OF COLORECTAL POLYPS INCLUDING SESSILE SERRATED LESIONS by Callaerts, Belian, Eelbode, Tom, Sinonquel, Pieter, Jans, Alexander, Maes, Frederik, Bisschops, Raf

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Building Machine Learning Models in Gastrointestinal Endoscopy by Antonelli, Giulio, Eelbode, Tom, Elsaman, Touka, Sharma, Mrigya, Bisschops, Raf, Hassan, Cesare

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REAL-TIME AUTOMATED ASSESSMENT OF HISTOLOGICAL DISEASE ACTIVITY IN PATIENTS WITH ULCERATIVE COLITIS USING SINGLE WAVELENGTH ENDOSCOPY TECHNOLOGY by Sinonquel, Pieter, Lenfant, Matthias, Eelbode, Tom, Callaerts, Belian, Watanabe, Hiroki, Sabino, João, Verstockt, Bram, Maes, Frederik, De Hertogh, Gert, Vermeire, Séverine, Bisschops, Raf

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372 MUCOSAL CAPILLARY PATTERN RECOGNITION WITH REAL-TIME COMPUTER-BASED IMAGE ANALYSIS DETECTS HISTOLOGICAL REMISSION IN ULCERATIVE COLITIS by Bossuyt, Peter, De Hertogh, Gert, Eelbode, Tom, Vermeire, Severine, Bisschops, Raf

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Sa2012 AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES INTEROBSERVER VARIABILITY by Suykens, Jan, Eelbode, Tom, Daenen, Jurgen, Suetens, Paul, Maes, Frederik, Bisschops, Raf

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CLINICAL VALIDATION OF A COMPUTER-AIDED DETECTION MODEL FOR COLORECTAL POLYP DETECTION (CAD-ARTIPOD) TRIAL USING A SECOND OBSERVER AND REAL-TIME UNBLINDING by Sinonquel, Pieter, Eelbode, Tom, Pech, Oliver, De Wulf, Dominiek, Dewint, Pieter, Neumann, Helmut, Antonelli, Giulio, Tate, David, Lemmers, Arnaud, Pilonis, Nastazja, Kaminski, Michal, Demedts, Ingrid, Hassan, Cesare, Roelandt, Philip, Maes, Frederik, Bisschops, Raf

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ID: 3520174 SEMI-AUTOMATED ANNOTATION TOOL OUTPERFORMS TRAINED MEDICAL STUDENTS AND IS COMPARABLE TO CLINICAL EXPERT PERFORMANCE FOR FRAME-LEVEL DETECTION OF COLORECTAL POLYPS by Eelbode, Tom, Ahmad, Omer F., Sinonquel, Pieter, Kocadag, Timon Blakemore, Narayan, Neil, Rana, Nikita, Maes, Frederik, Lovat, Laurence B., Bisschops, Raf

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879 A PROSPECTIVE MULTI-CENTER VALIDATION STUDY FOR AUTOMATED POLYP DETECTION AS A SECOND OBSERVER by Eelbode, Tom, Hassan, Cesare, Neumann, Helmut, Demedts, Ingrid, Sinonquel, Pieter, Roelandt, Philip, Camps, Chelsea, Coron, Emmanuel, Bhandari, Pradeep, Pech, Oliver, Willekens, Hilde, Maes, Frederik, Bisschops, Raf

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Tu1931 INCORPORATION OF TEMPORAL INFORMATION IN A DEEP NEURAL NETWORK IMPROVES PERFORMANCE LEVEL FOR AUTOMATED POLYP DETECTION AND DELINEATION by Eelbode, Tom, Demedts, Ingrid, Bisschops, Raf, Roelandt, Philip, Hassan, Cesare, Coron, Emmanuel, Bhandari, Pradeep, Neumann, Helmut, Pech, Oliver, Repici, Alessandro, Maes, Frederik

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Tu1959 BLI AND LCI IMPROVE POLYP DETECTION AND DELINEATION ACCURACY FOR DEEP LEARNING NETWORKS by Eelbode, Tom, Hassan, Cesare, Demedts, Ingrid, Roelandt, Philip, Coron, Emmanuel, Bhandari, Pradeep, Neumann, Helmut, Pech, Oliver, Repici, Alessandro, Maes, Frederik, Bisschops, Raf

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Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index by Eelbode, Tom, Bertels, Jeroen, Berman, Maxim, Vandermeulen, Dirk, Maes, Frederik, Bisschops, Raf, Blaschko, Matthew B

“…In many medical imaging and classical computer vision tasks, the Dice score and Jaccard index are used to evaluate the segmentation performance. Despite the…”
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Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice by Bertels, Jeroen, Eelbode, Tom, Berman, Maxim, Vandermeulen, Dirk, Maes, Frederik, Bisschops, Raf, Blaschko, Matthew

“…LNCS 11765, Springer Nature Switzerland AG 2019 The Dice score and Jaccard index are commonly used metrics for the evaluation of segmentation tasks in medical…”
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Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients by Tilborghs, Sofie, Dirks, Ine, Fidon, Lucas, Willems, Siri, Eelbode, Tom, Bertels, Jeroen, Ilsen, Bart, Brys, Arne, Dubbeldam, Adriana, Buls, Nico, Gonidakis, Panagiotis, Sánchez, Sebastián Amador, Snoeckx, Annemiek, Parizel, Paul M, de Mey, Johan, Vandermeulen, Dirk, Vercauteren, Tom, Robben, David, Smeets, Dirk, Maes, Frederik, Vandemeulebroucke, Jef, Suetens, Paul

“…Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help…”
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